Top Data Engineer Jobs in Pune

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.

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

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

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.

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

The Data Engineer will work on GCP services and handle big data through ETL processes, employing strong problem-solving skills and analytical abilities.

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.

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

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 Senior Software Product Data Engineer, you will design, develop, and optimize data pipelines, ensuring data quality and integrity while collaborating with teams to improve products and support machine learning operationalization.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

Design, build, and maintain end-to-end GCP data pipelines and AI workloads using Python, SQL, Airflow/Cloud Composer, Dataflow, BigQuery, and Vertex AI. Implement CI/CD, Terraform deployments, streaming services (Pub/Sub/Kafka), REST APIs, containerized hosting, and L3 support. Collaborate using Jira/Confluence and operationalize RAG/agentic AI systems.

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.

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

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 IT Data Engineer will develop and optimize ETL/ELT workflows, implement Lakehouse architecture, integrate Azure services, and oversee data governance practices, while supporting CI/CD and collaborating with stakeholders.

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.

Lead development and maintenance of Big Data solutions for Disability & Absence products, ensuring high-quality, efficient, and scalable applications.

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 Associate Software Engineer develops and maintains data pipelines and full-stack applications using Azure services, modern web technologies, and AI tools, collaborating with cross-functional teams to deliver solutions.

The role involves developing a cloud-based logistics analytics platform, implementing business logic in the data warehouse, designing ETL pipelines, optimizing data processes, and collaborating with stakeholders.

Design and deliver end-to-end cloud data solutions, lead discovery and technical design, build and optimize scalable ETL/ELT and real-time pipelines, implement CI/CD and IaC, develop observability and data quality, perform performance tuning and root-cause analysis, and advise customers while contributing to automation and thought leadership.

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.