Top Data Engineer Jobs in Pune

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.

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.

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

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

The Data Engineer develops structured data sets and data models for analytics, manages ETL processes, collaborates with stakeholders, and ensures data integrity and quality.

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

The Data Engineer II role focuses on building and maintaining ETL pipelines, designing data models, and collaborating with teams to enhance data products in an agile environment.

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

Develop Databricks pipelines, improve data quality, work on healthcare data, and collaborate with stakeholders for data solutions.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.

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.

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

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

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

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.

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

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

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

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

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

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