Top Data Engineer Jobs in Pune

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

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.

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 designs and develops data solutions, creates pipelines, implements ETL processes, and collaborates to ensure data quality and strategy alignment.

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 build and maintain systems for data collection, storage, processing, and analysis, ensuring data accuracy and security while collaborating with data scientists on machine learning models.

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.

Build and maintain data architectures and pipelines, design data lakes and warehouses, and collaborate with data scientists to develop solutions.

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.

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.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.