Top Data Engineer Jobs in Pune

Design and deploy AI/ML solutions on AWS, build data pipelines using Databricks and PySpark, and maintain legacy systems. Collaborate with teams to ensure efficiency and performance optimization in data processing.

The role involves collaborating with teams to implement technology solutions, manage projects, enhance data quality, and mentor junior staff while focusing on supply chain operations.

The GCP Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python and SQL on Google Cloud Platform, working in a collaborative environment to ensure data quality and availability.

Lead technical role for engineering team, focusing on development and operations in Cloud. Involves migrations, scripting, and process enhancements.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

Lead a technical team to deliver data engineering solutions, manage project lifecycle, and collaborate with stakeholders to optimize supply chain operations across industries.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

The GCP Data Engineer will develop and maintain data pipelines, optimize SQL queries in BigQuery, assist in data modeling, and ensure data quality. Collaboration with team members to meet data requirements is essential.

Technical leadership for a team responsible for GCP data engineering, focusing on development, deployment, operations, and migration of services from on-premise to cloud.

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 implementation of cloud solutions on Azure, ensuring security and operational standards, while mentoring junior engineers and collaborating with IT teams.

The Senior Data Engineer will leverage PySpark and Scala for big data applications, conducting data analysis, debugging, and utilizing CI/CD tools, while enhancing project implementation in the financial sector.

The Senior Data Engineer is responsible for developing and maintaining data pipelines using PySpark and Scala, managing Big Data applications, and facilitating incident management.

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

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

The Data Engineer is responsible for designing and managing IT solutions, working with business and technical stakeholders to ensure engineering best practices and quality delivery throughout the software lifecycle.

The Data Engineer maintains and optimises data pipelines, works with various teams on data requirements, and improves data delivery processes.

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.

The Data Engineer at Ensono develops and optimizes data pipelines, ensuring high-quality data for AI/ML applications while collaborating with various teams to support business outcomes.

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

The Data Engineer maintains and optimizes data infrastructure, automates processes, and collaborates with teams to improve data delivery and insights.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

The role involves optimizing SAP and non-SAP systems, building data processing pipelines, and providing insights for the Cash Management function through collaboration and technical solutions.

Develop and deploy machine learning models, partner with teams to create solutions, and communicate findings to stakeholders.

The role involves supporting data ingestion and curation processes, building data pipelines, and collaborating on analytics solutions using various big data tools under guidance.