Top Data Engineer Jobs in Pune

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

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

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 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.

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.

Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.

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.

As a Data Engineer, design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

The BA-4 AWS Data Engineer builds and maintains data systems, collaborates with data scientists, and drives innovation in digital offerings, focusing on data architecture and analytics.

The AWS Data Engineer is responsible for building and maintaining data architectures, managing data workflows, and collaborating with data science to deploy models.

The AWS Data Engineer - AVP will build and maintain data systems, lead complex projects, and drive automation and innovation within data architecture while collaborating with data scientists and stakeholders.

The role involves building and maintaining data architectures, pipelines, and warehouses, collaborating with data scientists, and leading teams to ensure data security and accessibility.

The Data Engineer will build and maintain data systems, design data architectures, develop processing algorithms, and collaborate on machine learning models while ensuring data accuracy and security.

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 Data Engineer will build and maintain data architectures, pipelines, warehouses, and lakes, ensuring data accuracy and security. They will collaborate with data scientists and oversee operational processes within the team, driving continuous improvement.

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.

Design, develop, and implement generative AI solutions addressing complex business problems while collaborating with stakeholders. Ensure solutions meet security principles and compliance.

Build and maintain systems for data collection, storage, processing, and analysis. Collaborate with data scientists and ensure data integrity and security.

The Data Engineer is responsible for building and maintaining systems for data collection, processing, and analysis, as well as collaborating with teams to ensure data accuracy and security.

As a Data Engineer, you will design, build, and maintain data infrastructure and pipelines, support machine learning workflows, and optimize database systems.

Analyze encrypted network data to identify trends, develop analysis pipelines, and ensure detection accuracy. Requires machine learning and network protocol knowledge.

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