Top Data Engineer Jobs in Pune

As an Associate Data Engineer, you will build and manage data pipelines, collaborate with teams, and develop solutions to enhance data capabilities.

Lead technology-driven projects using cloud solutions to solve business issues, mentor teams, and collaborate globally with clients for optimal outcomes.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

Lead projects using cloud technologies to address complex business challenges, mentor teams, and ensure scalable technology solutions, focusing on client satisfaction and project delivery.

The Data Engineer III develops and implements data engineering solutions, performs complex data analysis, and manages data systems while collaborating with teams to enhance healthcare data efficiency.

Designs and develops data management solutions and pipelines using cloud/on-prem tools (Azure, Databricks, Synapse). Performs data profiling, modeling, analytics, automates data quality improvements, and collaborates with stakeholders to translate business needs into data solutions.

The GCP Data Engineer will develop, test, and maintain data pipelines, optimize SQL queries, assist in data model design, and troubleshoot data quality issues, while collaborating with team members on large-scale projects in a dynamic environment.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

Design and maintain data solutions using Snowflake. Build data pipelines, implement ETL processes, and ensure data quality. Collaborate with teams to deliver data architecture consistent with organizational needs.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

Design, develop, and maintain end-to-end GCP data pipelines (batch and streaming), APIs, and AI workloads. Implement ETL/ELT, data quality, CI/CD, infrastructure as code (Terraform), monitor and troubleshoot pipelines, and support L3 operations. Work with Vertex AI, RAG/vector DBs, agentic frameworks, and deploy services via Docker/Cloud Run.

Responsible for L2 technical support for data platforms, advanced troubleshooting, code-level fixes, and ensuring SLA compliance. Requires strong skills in Azure Data Factory, Databricks, SQL, and Python for performance tuning and data reliability.

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

The Senior Big Data Engineer designs and maintains data pipelines, ensuring scalability, performance, and security while collaborating with various business units.

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.

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

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.

The Data Engineer role involves developing and deploying AI/ML solutions, building data engineering solutions, and applying statistical methods for insights.

The Big Data Engineer II is responsible for designing and maintaining data pipelines on cloud and on-premises, ensuring data quality and compliance, collaborating with stakeholders, and utilizing big data frameworks and cloud platforms.

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

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 Senior Data Engineer will design and implement ELT processes, build data pipelines, collaborate with teams, utilize AWS services, and ensure seamless data integration.

As a Staff Software Engineer, you will design, develop, and maintain data store components, collaborating with teams to create efficient solutions using tools like Golang and Kubernetes in a hybrid work environment.

Responsible for designing, building, and maintaining a real-time data ingestion platform, focusing on data quality, scalability, and observability while collaborating across teams.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.