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.

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

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

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 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 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.

As a Data Engineer, you will create data pipelines, ensure data quality, develop data governance, and coach junior engineers while collaborating with product managers and business teams.

The role involves validating the integrity of data pipelines in Big Data environments, using SQL, Spark testing, and automation to ensure high data quality.

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

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

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.

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

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

Seeking a Senior Data Engineer to design and optimize data pipelines and database systems, ensuring performance and data integrity while collaborating with cross-functional teams.

The Senior AI Engineer will drive the development of ML solutions for security use cases, leveraging AWS for deployment and focusing on agentic AI and RAG pipelines while mentoring junior engineers.

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

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

The role involves developing cloud solutions on AWS, maintaining CI/CD pipelines, and collaborating with cross-functional teams to deliver high-quality software.

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.

As a Data Engineer, implement data pipelines and analytics solutions using AWS technologies, collaborating closely with Product Owners and AWS Architects.

The Data Engineer II develops and manages data pipelines, ensuring data quality and availability for analytics, while optimizing processes and designs for real-time data. Engages in collaboration with DevSecOps for continuous integration and deployment.

As a Senior Software Engineer on the Data Platform team, you'll design and build foundational data services, maintain data pipelines, and ensure security and observability across data systems.