Top Data Engineer Jobs in Pune

Seeking an experienced Data Engineer to develop, maintain, and enhance data pipelines and lake solutions for Internal Audit using Databricks and Azure.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

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.

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 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 Lead Data Engineer will design and implement data pipelines in Databricks, ensuring data quality and governance while collaborating with internal audit teams.

The Data Engineer will develop and maintain the Analytical Warehouse, focusing on data ingestion, transformation pipelines, and ensuring data quality for analytics in wealth management.

Build and maintain data systems, develop pipelines and architectures, collaborate with data scientists, and ensure data security and accuracy.

Build and maintain data pipelines, warehouses and lakes; design architectures for secure, scalable data processing; develop processing algorithms; collaborate with data scientists to deploy ML models; lead or support team members and embed risk, controls and governance.

Design, build and maintain data pipelines, data warehouses and lakes; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead/supervise team and ensure data quality, security and governance.

As a Data Engineer at Maersk, you'll design and maintain data ingestion frameworks, develop transformation logic, and collaborate with teams for data curation. You'll optimize data performance in a lakehouse architecture and support deployment workflows, ensuring production readiness and observability across platforms.

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.

The role involves designing and building data pipelines for MI dashboards, developing and maintaining test automation frameworks, and collaborating with engineering teams.

Build and maintain systems for collecting and processing data, design data architectures, and collaborate with data scientists on machine learning models.

The Data Engineer will support data governance practices by onboarding datasets, maintaining metadata, monitoring data quality, and assisting in engineering tasks like writing SQL queries and using data tools.

The Data Engineer will design and develop software solutions, manage data pipelines, collaborate with cross-functional teams, and ensure code quality and performance.

The Cloud Data Engineer role involves building and maintaining data infrastructures, designing data warehouses, collaborating with data scientists, and ensuring data security and accessibility.

Responsible for building and maintaining data systems, developing data pipelines, architectures, and collaborating with data scientists on machine learning models.

As a Senior Data Engineer, you'll design and maintain data ingestion platforms, build data pipelines, ensure data quality, and mentor junior engineers.

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