Top Data Engineer Jobs in Pune

Lead delivery of large-scale data engineering projects on AWS, design ETL processes for foundational and business data products, collaborate with stakeholders, manage risks and vendors, and ensure compliance with security and governance while using IaC and monitoring tools.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

Exusia seeks a Snowflake Data Engineer to develop large-scale data pipelines and models, collaborate with stakeholders, and ensure data accuracy.

The Data Engineer II will build and maintain data pipelines, support ETL workflows, and collaborate on reporting solutions while ensuring data quality and system optimization.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

The Data Engineer will design and improve software, ensure high-quality delivery, collaborate with teams, and adhere to secure coding practices.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

Lead the design and development of scalable data pipelines using Ab-initio and Python, migrating workflows, ensuring data quality, and mentoring team members.

The role involves building and maintaining scalable data architectures, implementing data pipelines, collaborating with data scientists, and advising stakeholders on strategies and solutions.

As a Staff Data Platform Engineer, you will lead the design and development of data infrastructure, manage CI/CD processes, and implement observability for data pipelines.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

Responsible for building and maintaining data architectures, pipelines, and systems for data analysis and processing. Collaborate with data scientists on machine learning models and ensure data quality and security.

The Data Engineer will build and maintain data systems, develop ETL workflows, collaborate with data scientists, and ensure data accuracy and security.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

As a Data Engineer, you will build and optimize data pipelines, collaborate with teams to deliver data solutions, and ensure data quality in cloud environments.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

Design and own the architecture for FNZ's Aggregated Analytical Warehouse, focusing on privacy, cross-client analytics, and data governance. Responsibilities include defining data models, architecting privacy solutions, and overseeing technical evaluations of confidential compute vendors.

Lead data engineering initiatives, develop predictive models, automate reports, and enhance data governance while collaborating across teams and mentoring junior engineers.

The IT Data Engineer will work with cross-functional teams to enhance data management, develop tools for data analytics, and ensure robust data processes and integrity.

The Data Engineer builds and maintains data architectures, develops ETL components, and collaborates with data scientists on machine learning models, ensuring data accuracy and security.

As a Senior Data Engineer at Fictiv, you'll design and manage data warehouse architecture, optimize data models, and collaborate with teams for data-driven analytics.