Top Data Engineer Jobs in Pune

The Azure Data Engineer will maintain data infrastructure, develop data pipelines, analyze data, and enhance data quality while collaborating with teams.

As a Business Technology Solutions Associate Consultant, you will manage project lifecycles, translate business needs into solutions, mentor team members, and drive technology project deliverables in big data and cloud environments.

Design, build, and optimize data pipelines and ETL processes in Azure Databricks, ensuring performance, reliability, and scalability while collaborating with teams to translate business needs into technical solutions.

As a Data Engineer III, you will collaborate with stakeholders to design and develop data management solutions, analyze data, and enhance data quality using advanced analytics and engineering techniques.

Lead the design and optimization of data infrastructures, mentor engineers, and develop scalable data solutions while ensuring data integrity and security.

The Senior Data Engineer will design and implement data ingestion processes, develop scalable data pipelines, and collaborate with teams to integrate data sources.

Lead the design and development of scalable data engineering products, optimize data processes, and mentor junior team members in a healthcare analytics context.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

Lead design and optimization of data pipelines and architectures, mentor engineers, collaborate with teams, and drive technical strategies in data engineering.

As an Azure Data Engineer, you will build and maintain data platforms, develop data pipelines, manage data lakes, and ensure security and compliance.

The role involves designing and developing data solutions using Databricks, focusing on data pipeline architecture, optimization, and reporting.

The Data Engineer role involves developing and deploying AI/ML solutions, building data engineering solutions, and applying statistical methods for insights.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

The Data Engineer will design and maintain data pipelines and infrastructure, collaborate with teams, and ensure data accuracy for client solutions.

The Data Engineer will build and maintain data pipelines, ensuring quality and performance while supporting business analytics and operations.

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.

Design, build, and maintain scalable data pipelines, enhance blockchain reporting, ensure data quality and auditability, and monitor systems.

The Senior Data Engineer develops and supports data streams, ensures data quality, collaborates on data requirements, and leads a team in data engineering tasks.

The Senior Data Engineer will architect data models and build ETL pipelines for data infrastructure and analytics, collaborating with stakeholders and leading technical initiatives.