Top Data Engineer Jobs in Pune

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.

As an Associate Data Engineer, you will build and manage data pipelines, collaborate with teams, and develop solutions to enhance data capabilities.

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

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 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 II role involves designing, developing, and maintaining cloud-based data pipelines, optimizing data models, and collaborating with teams to enhance data engineering solutions.

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

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

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 the design and development of scalable web applications using Python and React.js, mentoring a team of developers and collaborating across functions.

The Senior Data Engineer designs and develops complex data pipelines, ensures data reliability, and follows engineering best practices across enterprise-scale Big Data environments.

The role involves developing data pipelines, data modeling, and data quality management on GCP, employing advanced analytics and maintaining integrations. The position also includes L3 support for workloads.

As a Site Reliability Engineer, you'll improve infrastructure architecture, automate operations, manage CI/CD pipelines, and minimize operational toil through innovation.

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

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Seeking a Senior Data Engineer to design and implement ELT processes, build reliable data pipelines, and utilize AWS for data solutions.

As a Lead Data Engineer, you will design and maintain scalable data pipelines, ensure data quality, and partner with teams to implement data strategies. You will lead innovations and architect data models to enhance data accessibility and compliance across the organization.

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 Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

Lead the monitoring, maintenance, and optimization of the enterprise data warehouse, ensuring ETL performance and compliance with SOX standards. Collaborate with stakeholders to resolve issues and perform deep-dive analyses for quality improvements.

The Lead Data Engineer will design and implement data pipelines, oversee data management, and work with large datasets in a Big Data environment, ensuring efficient and scalable data solutions.