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About PrePass PrePass® is North America's most trusted weigh station bypass and toll management platform. We’re transforming how the transportation industry operates—creating solutions that keep trucks moving safely, efficiently, and compliantly. This means making bold decisions and building systems that support not only fleets but the broader economy. It all starts with enabling commercial vehicles to keep rolling with seamless toll management, weigh station bypass, and safety solutions. It’s what we do best, and we do it to meet the demands of the road every day. That’s why people join us: our solutions are implemented in real-time, on highways and interstates across the nation, helping fleets go farther, faster. This work challenges and rewards, presenting complex problems that need ambitious answers. We hire bold thinkers with a heart for impact, a passion for progress, and the optimism to shape the future of transportation. About the Role We’re seeking a BI Analyst to join our Business Intelligence team, reporting to the Manager of Business Intelligence. In this role, you’ll translate data into actionable insights that support business decision-making across the company. You’ll collaborate with business and technical stakeholders to understand their goals and objectives and deliver meaningful insights. This position is primarily remote, with occasional visits to our downtown Phoenix office, located directly across the street from Footprint Center. Essential Responsibilities Reporting & Analysis Gather, analyze, and interpret data to provide insights and recommendations to stakeholders. Provide detailed quantitative and qualitative data analysis and reporting, applying statistical methods where appropriate. Identify trends, patterns, and anomalies in tolling, bypass, device, and customer data. Respond to ad hoc report and data requests submitted through the BI service desk across multiple business areas. BI Solutions & Data Quality Create and enhance Power BI reports, dashboards, and visualizations, including semantic model and DAX measure changes. Troubleshoot report refresh failures and data issues, partnering with data engineers on root-cause fixes. Validate report outputs against warehouse and source data before release to ensure data accuracy, reliability, and accessibility. Document reports, metric definitions, and data lineage in Confluence. AI-Assisted Analytics Use AI-assisted workflows to translate business questions into reporting artifacts (semantic model changes, DAX, and documentation), validating outputs for accuracy and policy compliance. Incorporate AI tools into routine reporting and documentation work, writing clear, specific prompts and refining them when the first output isn't quite right. Begin applying simple agentic tools to single, well-defined tasks under guidance. Review AI outputs for accuracy before use, ask informed questions, and seek out new AI use cases relevant to your work. Stakeholder Collaboration & Process Improvement Gather and document business requirements to support reporting and analytics initiatives. Proactively look for ways to improve your own workflows and reporting processes. Collaborate across the BI team to reach shared goals, and mentor teammates one-on-one as opportunities arise. Requirements Qualifications 2+ years of experience as a BI Analyst, Data Analyst, or in a similar reporting role. Hands-on experience building and maintaining Power BI reports and semantic models, including DAX. Intermediate SQL skills (joins, aggregations, CTEs, window functions) for querying, validating, and reconciling data. Ability to manage multiple requests from different stakeholders and explain findings clearly to non-technical audiences. Bachelor's degree (BSc/BA) in a relevant field. Preferred Experience with Microsoft Fabric (lakehouses, warehouses, notebooks) or a medallion (Bronze/Silver/Gold) data architecture. Experience using AI tools (e.g., Microsoft Copilot, Claude, ChatGPT) in analytical work, with a habit of verifying results before use. Microsoft Certified: Fabric Analytics Engineer Associate (DP-600). Experience using Git for version control of BI assets. Familiarity with tolling, transportation, or fleet data. Exposure to Python, Alteryx, or Power Automate. Exceptional collaboration skills, with the ability to navigate dynamic environments and embrace change. Benefits How We Will Take Care of You Robust benefit package that includes medical, dental, and vision that start on date of hire. Paid Time Off, to include vacation, sick, holidays, and floating holidays. 401(k) plan with employer match. Company-funded “lifestyle account” upon date of hire for you to apply toward your physical and mental well-being (i.e., ski passes, retreats, gym memberships). Tuition Reimbursement Program. Voluntary benefits, to include but not limited to Legal and Pet Discounts. Employee Assistance Program (available at no cost to you). Company-sponsored and funded “Culture Team” that focuses on the Physical, Mental, and Professional well-being of employees. Community Give-Back initiatives. Culture that focuses on employee development initiatives. Join Us At PrePass, our mission drives us. We invest in relationships. We challenge ourselves to innovate and improve. We win together. Simply put, we live our Core Values. Ready to help move the transportation industry forward? Join us and let’s drive progress—together.

Helsinki, Uusimaa, Finland | Tallinn, Harju, Estonia · Full time

At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: IS Manager Your role and responsibilities We are looking for an experienced Data Engineer to strengthen our Data & AI capabilities within ABB Motion Drive Products and High Power Drives. In this role, you will play a key part in designing, developing and continuously improving enterprise data solutions, with Snowflake as our primary data platform. You will work across the data engineering lifecycle, from source system integration and data modeling to developing scalable data pipelines, reusable data structures and production-ready data solutions. Data Engineer takes technical ownership of data engineering implementations, contributes to data platform development and architecture, and helps establish common engineering practices that enable reliable, high-quality data for business analytics, reporting and AI applications. You will join a skilled IT team and collaborate closely with Data Architects, Data Platform Owners, Data Owners, Data Analysts and business stakeholders across our global organization. The role is based in either Helsinki, Finland, or Tallinn, Estonia. We offer a hybrid work model; however, the role requires regular on-site work at our offices in Pitäjänmäki, Helsinki, or Jüri, Tallinn. You will be mainly accountable for: Data Engineering & Development Design, develop and maintain scalable, high-performance data solutions using Snowflake as the primary data platform Optimize Snowflake workloads for performance, scalability, reliability and cost efficiency Data Modeling & Architecture Design and implement logical and physical data models, including dimensional models and reusable enterprise data structures Translate complex business requirements into scalable technical designs and data models Contribute to common data models, reusable data products and enterprise data architecture standards Data Integration & Platform Development Design and implement robust data integrations across enterprise applications, databases, APIs and cloud storage services Contribute to the continuous improvement of data platform capabilities, engineering frameworks and development standards Ensure data quality, traceability, reliability and appropriate security controls throughout the data lifecycle DevOps, Automation & Release Management Implement and maintain Git-based development workflows, CI/CD pipelines, automated testing and deployment processes Develop monitoring, logging, error handling and data quality validation mechanisms for production data solutions Support production operations and ensure solutions are maintainable, well-documented and aligned with established platform standards Qualifications for the role Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering or a related field 5+ years of relevant hands-on data engineering experience, including substantial experience developing solutions on Snowflake Strong experience in data modeling, including relational, dimensional, logical and physical data model design Proven experience designing and developing scalable ETL/ELT pipelines and integrating data from multiple enterprise source systems Good programming skills in Python for data engineering, automation and integration Experience with Microsoft Azure cloud data services, particularly Azure Data Lake Storage Experience with Git, CI/CD practices, automated deployments and software engineering principles, preferably using Azure DevOps Good English communication skills; Finnish or Estonian language skills are considered an advantage Valid working permit to Finland or Estonia Considered an advantage Experience with additional enterprise data platforms such as Databricks or Microsoft Fabric Experience with enterprise data governance, metadata management, data lineage and data product development Experience developing data solutions for manufacturing, industrial operations or global enterprise environments More about us ABB Drive Products serves the industries and infrastructure segments with world-class drives and programmable logic controllers (PLC). With its products, global scale and local presence, the Division helps customers to improve energy efficiency, productivity and safety. If you have questions, please contact IS Manager Jukka Itkonen, tel. +358 50 3326781.Please note the following call times: Friday, 6 November, 10:00-11:00 and Monday, 9 November, 16:00-17:00. Apply for the position by November 16, 2026. We look forward to receiving your application. Work model: Hybrid #LI-hybrid Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

Bangalore, India

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service. You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform. What you’ll do Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow. Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes. Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests. Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient. Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use. Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor. Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely. Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook. What You'll Bring Professional experience shipping production data pipelines in Python. Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred. Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion. Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling. Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review. Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short. Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values. Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration. About the team The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Cisco

San Jose, California, United States of America · Full time

This internship involves analyzing business processes within the supply chain to identify improvement opportunities. The role requires strong data analytics and visualization skills to derive insights from large datasets and present them effectively. Responsibilities include managing supply chain data architecture and automating processes to optimize workflows.

US, CA, Santa Clara · Full time

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to develop the future of computing? At NVIDIA, we are leading in AI and accelerated computing, and we are looking for a Senior Data Analyst to join our DGX Data team. Located in Santa Clara, CA, this role offers an outstanding opportunity to work with innovative technology and be part of a highly skilled team. If you are ambitious and thrive in a collaborative environment, this could be the perfect fit for you! What you'll be doing: Build and maintain analytical models for capacity demand, supply, utilization, allocation, and operational performance across DGX Cloud. Develop forecasts and scenario analyses to support business planning, infrastructure readiness, and leadership decision-making. Translate ambiguous business questions into structured analyses, datasets, dashboards, and recommendations. Developing and implementing data-driven strategies to optimize prioritization and drive flawless execution of projects. Collaborating with cross-functional teams to identify and resolve supply chain issues. Present findings and recommendations to cross-functional stakeholders, including senior leaders. Crafting and maintaining dashboards and reports to track key performance indicators. Applying advanced analytical techniques to forecast demand and supply trends. What we need to see: Bachelor's degree in Engineering, Data Science, or a related field, or equivalent experience. Minimum of 8 years of experience in data analysis, preferably within supply chain or capacity planning roles. Proven ability to successfully implement data-driven strategies and solutions. Outstanding analytical and problem-solving skills. Proficiency in SQL, Python, and data visualization tools such as Tableau. Strong communication skills, with the ability to present complex data insights to collaborators. Diligent and highly organized, with a strict focus on accuracy. Ways to stand out from the crowd: Advanced degree or equivalent experience in a relevant field. Experience working in a fast-paced, high-tech environment. Understanding of AI and machine learning applications. Proven track record of leading data analysis projects to completion. Strong project management skills. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 128,000 USD – 212,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Fin

Berlin, Germany

Product Engineer at Fin in Berlin, Germany focuses on Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce.

Remote - USA

The Senior Software Engineer, Data Engineering Platform will build and maintain systems for centralizing and processing internal and third-party data. This role involves creating software abstractions, SDKs, and self-service applications to enable data access for analytics and machine learning. The position requires 7+ years of experience with backend development, SQL, and data systems.

Bengaluru Brigade Magnum · Full time

This role involves performing exploratory data analysis, writing SQL queries, and building data models to extract insights and support data-driven decision-making. The position requires 3-5 years of experience in data analysis, data modeling, and SQL, with a focus on translating business questions into analytical solutions and potentially applying Generative AI techniques.

Amsterdam

Data Analyst II - Finance and Commercial at Adyen in Amsterdam focuses on This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta,. At Adyen, everything we do is engineered for ambition.

Remote, US

Principal Product Manager, Kitchen Commercial Lead at Toast in Remote, US focuses on EST OR CST preferred Toast creates technology to help restaurants and local businesses succeed in a digital world,. The Kitchen Operations team owns one of Toast's most operationally critical and strategically exciting products: the Kitchen Display System (KDS).

Remote - US

Data Engineer at Samsara in Remote - US focuses on Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction,. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring.

Remote - Canada

Data Engineer at Samsara in Remote - Canada focuses on Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction,. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring.

Remote, Poland

Intermediate Fullstack Engineer (Ruby/Vue. js), Growth at GitLab in Remote, Poland focuses on GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.

Remote, United Kingdom

Intermediate Fullstack Engineer (Ruby/Vue. js), Growth at GitLab in Remote, United Kingdom focuses on GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.

Nampa, Idaho, us · Full-time

Senior Data Analyst – Controlled Environments at Syngenta Group in Nampa, Idaho, us focuses on We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance.

Sede Rio - Botafogo · Full time

BRA Data Analyst II - Comercial Country: Brazil Se você tem vontade de crescer e aprender sempre, e tem paixão em lidar com pessoas, esse pode ser o seu lugar! Temos uma vaga de Especialista de Rede – Gestão Comercial esse pode ser o próximo passo para crescer e desenvolver sua carreira. Objetivo da posição: Buscamos profissional com perfil analítico, organizado e proativo, com capacidade de transformar dados em informações relevantes para apoiar a tomada de decisão do negócio. A posição terá atuação próxima às áreas de negócio, com foco em análise de dados, construção de relatórios e dashboards, apresentações executivas e utilização de ferramentas de Inteligência Artificial. Aqui o seu papel será: Elaborar, consolidar e acompanhar relatórios gerenciais e indicadores de desempenho; Analisar dados, identificar tendências, oportunidades e pontos de atenção; Desenvolver e atualizar dashboards e painéis de acompanhamento no Power BI; Realizar tratamento, organização e cruzamento de bases de dados; Transformar dados complexos em informações claras e objetivas para diferentes públicos; Construir apresentações executivas e materiais para reuniões e comitês; Apoiar as áreas de negócio na interpretação dos indicadores e na geração de insights; Utilizar ferramentas de Inteligência Artificial para otimização de análises, relatórios, apresentações e processos; Identificar oportunidades de automação e ganho de produtividade por meio de dados, tecnologia e IA; Interagir com diferentes áreas e stakeholders, garantindo alinhamento das informações e das entregas; Apoiar projetos estratégicos e demandas de análise de dados da área. Requisitos: Experiência com análise e interpretação de dados; Conhecimento em Power BI , incluindo criação e manutenção de dashboards; Conhecimento em Excel e manipulação de bases de dados; Boa capacidade de elaboração de relatórios e indicadores; Experiência na construção de apresentações executivas; Conhecimento e interesse em Inteligência Artificial e ferramentas de IA aplicadas aos negócios ; Capacidade de transformar análises em recomendações e insights; Boa comunicação verbal e escrita; Organização, atenção aos detalhes e capacidade de trabalhar com diferentes demandas simultaneamente; Bom relacionamento interpessoal e facilidade para trabalhar em equipe. Diferenciais: Conhecimento em SQL; Experiência com automação de processos e relatórios; Conhecimento em ferramentas de IA generativa; Experiência com análise de grandes volumes de dados; Conhecimento de indicadores de negócio e performance; Experiência em ambientes corporativos e interação com áreas executivas. Local de trabalho : Híbrido (3 dias presenciais e 2 remotos) - Botafogo/RJ #BENEFÍCIOS Remuneração Variável (PLR + RV); Assistência Médica e Odontológica; Auxílio Alimentação e Refeição; Previdência Complementar; Seguro de Vida; Auxílio Creche/Babá; Gympass ou Totalpass; Vale Transporte; Programa Nascer; Be Healthy - Programa que incentiva todos a terem hábitos mais saudáveis; PAPE - Programa de apoio pessoal especializado. E aí? Quer ser chama ? Aqui é o espaço para criar o novo, questionar e desafiar o mercado. É ter a urgência do agora e do futuro alinhados para atender ao cliente sempre da melhor forma. É fazer parte de uma empresa global, que valoriza o potencial máximo de cada um e que preza pela diversidade em todas as suas dimensões. É ser simples, pessoal e justo. Se isso te chama, vem para o Santander! ♨️ #AquiSuaChamaTransforma #EspecialistaRede #VemProSantander #VemSerChama

Gurugram

This Senior Data Analyst role is part of the Executive Insights team, synthesizing company-wide revenue and operational data to assess business health. The position involves deep dives into performance metrics, producing insights for executive decision-making, and collaborating with partner teams to ensure data accuracy and transparency. Responsibilities include end-to-end report delivery, data quality issue resolution, and documenting metric definitions and data lineage.

Bangalore, India

This role involves transforming raw data into actionable insights for GitLab's global Support Engineering organization. The Staff Data Analyst will design dashboards, reports, and data models to monitor performance, optimize costs, and improve customer outcomes. Responsibilities include capacity planning, analyzing support economics, and leading dashboarding for AI adoption, requiring strong SQL and BI tool experience.

Kolkata DN 57 · Full time

This Senior Associate role focuses on Data Engineering within Digital Integration for Advisory services in Kolkata. The position requires 6-8 years of experience, with at least 3 years in data engineering, involving analysis, implementation, training, and support for business applications. Key responsibilities include leveraging the Microsoft Azure data stack and other Microsoft technologies for data solutions.

Kolkata DN 57 · Full time

This Senior Associate role focuses on data engineering and digital integration within the Advisory line of service. The position involves analyzing client needs, implementing software solutions, and providing support for seamless integration. Responsibilities include designing and implementing migration, ingestion, and integration solutions using the Microsoft Azure data stack.