Top Data Engineer Jobs in Pune

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 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.

The Data Engineer I role involves developing analytics models, translating data into insights, and collaborating on data quality improvement. Responsibilities include coding, data analysis, and designing automated solutions for healthcare data analysis.

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.

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.

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

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.

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.

Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines and implement ETL processes.

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 Data Engineer will design and build data pipelines for MI Dashboards, ensuring robust and scalable solutions from data collection to dashboard display.

Responsible for designing, building, and maintaining a real-time data ingestion platform, focusing on data quality, scalability, and observability while collaborating across teams.

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.

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, build, and maintain data infrastructure and pipelines to support machine learning workflows. Implement and optimize data storage and databases, integrate ML models into pipelines, ensure data quality and metadata management, document data assets, troubleshoot performance issues, and support research team data needs while proposing improvements and staying current with data engineering best practices.

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.

Design, build, and maintain scalable data pipelines, ETL processes, and data warehouses/lakes. Ensure data quality and performance, integrate diverse data sources, optimize queries, manage data infrastructure, and collaborate with data scientists and analysts to support analytics and reporting.

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.

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

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

The role involves building scalable data applications and APIs, optimizing data architectures, and developing cloud-native solutions to drive user experience at Zoom.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.