Top Data Engineer Jobs in Pune

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.

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

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.

Designs, builds, and deploys BI solutions and data engineering pipelines using Databricks/Azure, Spark SQL and Python. Creates dashboards and reports in Power BI, conducts data profiling, testing, and troubleshooting, collaborates with stakeholders to translate business requirements into data models and analytic solutions.

Designs, integrates, and prepares large-scale healthcare datasets for analysis; develops algorithms, automated pipelines, and analytics-ready data; ensures data quality and governance; collaborates with clients and teams to deliver analytical solutions and validate findings.

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.

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, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

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 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.

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.

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 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 GCP Data Engineer designs and maintains data pipelines using Python and SQL on GCP, ensures efficient batch processing, and implements CI/CD practices.

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.

Seeking a Senior Data Engineer to design and implement ELT processes, build reliable data pipelines, and utilize AWS for data solutions.

The GCP Data Engineer will design and maintain data pipelines, optimize SQL queries, develop REST APIs, and work with AI applications. Responsibilities include managing data workflows on GCP, implementing CI/CD, troubleshooting pipelines, and ensuring team collaboration.

Design and maintain data pipelines on GCP, optimize SQL queries, build AI systems, and operationalize applications while supporting integrations and troubleshooting.

The GCP Data Engineer will design, develop, and maintain data pipelines on GCP, utilize Python and SQL, and support advanced data analytics. Responsibilities include API integration, developing AI pipelines, and managing data workloads effectively.

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 role involves developing data pipelines, data modeling, and data quality management on GCP, employing advanced analytics and maintaining integrations. The position also includes L3 support for workloads.

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

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.