Top Data Engineer Jobs in Pune

As a Data Engineer II, you'll design, build, and maintain large-scale data processing pipelines on the cloud, ensuring data integrity and quality while enhancing data infrastructure and analytics capabilities.

Lead technology-driven projects using cloud solutions to solve business issues, mentor teams, and collaborate globally with clients for optimal outcomes.

The GCP Data Engineer will develop, test, and maintain data pipelines, optimize SQL queries, assist in data model design, and troubleshoot data quality issues, while collaborating with team members on large-scale projects in a dynamic environment.

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.

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.

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

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 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 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.

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

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

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.