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.

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.

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, 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.

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.

The Data Engineer will build and maintain data systems, ensuring data accuracy, accessibility, and security while collaborating with data scientists and leading team activities.

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

The role involves analyzing large datasets, developing AI models, mentoring junior staff, and creating data visualizations to drive business decisions.

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 and maintain data infrastructure, develop pipelines for data ingestion and quality, create data models, and optimize storage solutions.

The Data Engineer will build and maintain systems for data collection, processing, analysis, and storage, ensuring data accuracy and security. Responsibilities include developing data pipelines, warehouses, and lakes, and collaborating with data scientists for machine learning model deployment.

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

The Data Engineer designs and develops software solutions, collaborates with teams, and implements data pipelines using AWS and Snowflake technologies, focusing on data transformation and analytics.

Build and maintain data systems including pipelines, data architectures, and warehouses. Collaborate with teams to ensure data accuracy and security.

Lead delivery of large-scale data engineering projects on AWS, design ETL processes for foundational and business data products, collaborate with stakeholders, manage risks and vendors, and ensure compliance with security and governance while using IaC and monitoring tools.

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.