Top Data Engineer Jobs in Pune

The Data Engineer will work on projects for major banks and financial services, requiring skills in Java, Spark, and HBase/Hive/Kafka with 4-6 years of experience.

Seeking a GCP Data Engineer to develop and maintain data pipelines on Google Cloud, using Python and SQL. Responsibilities include data transformation, troubleshooting data issues, and collaborating with project teams.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

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.

Lead technology solution delivery for clients by managing projects, translating requirements, mentoring teams, and ensuring high-quality outcomes through collaboration and innovation.

The Full Stack Developer will design, develop, and maintain applications using Scala, Kafka, and NiFi, focusing on backend services and data pipelines while collaborating with frontend teams and implementing best coding practices.

Lead the data engineering team, managing Snowflake infrastructure, optimizing Tableau reporting, developing data strategies, and ensuring data integrity and compliance.

Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.

The Data Engineer will build and maintain data architectures, develop algorithms for data processing, and collaborate with data scientists for model deployment.

The Data Engineer will build and maintain data systems, collaborate with data scientists, and implement scalable data transformation solutions using AWS and Snowflake technologies.

The AI Data Engineer will build and maintain data systems, design data architectures, collaborate with data scientists, and advise on strategies for data management and governance.

As a Data Engineer, you will design, develop, and maintain data solutions, ensuring data quality, creating data pipelines, and implementing ETL processes.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

Build and maintain systems for data processing and analysis, design AI/ML solutions on AWS, implement MLOps best practices, and ensure responsible AI usage while collaborating with cross-functional teams.

The Data Engineer will design and develop software solutions, manage data pipelines, collaborate with cross-functional teams, and ensure code quality and performance.

The Data Engineer will support data governance practices by onboarding datasets, maintaining metadata, monitoring data quality, and assisting in engineering tasks like writing SQL queries and using data tools.

The Data Engineer builds and maintains data systems for collection, storage, processing, and analysis, ensuring data accuracy and security. Responsibilities include designing data architectures, collaborating on machine learning models, and leading teams or projects.

As a Data Engineer, you'll build and maintain data systems, collaborate with data scientists, and ensure effective data processing and storage for analyses.

As a Data Engineer, you will develop and maintain data systems, build pipelines, design data architectures, and collaborate with data scientists to implement machine learning models.

The BA-4 AWS Data Engineer builds and maintains data systems, collaborates with data scientists, and drives innovation in digital offerings, focusing on data architecture and analytics.

The AWS Data Engineer is responsible for building and maintaining data architectures, managing data workflows, and collaborating with data science to deploy models.

The Reference Data Developer will design and develop software solutions, collaborate with cross-functional teams, adhere to secure coding practices, and provide technical guidance within the reference data team.

The role involves building and maintaining data architectures, pipelines, and warehouses, collaborating with data scientists, and leading teams to ensure data security and accessibility.

The Data Engineer will build and maintain data systems, design data architectures, develop processing algorithms, and collaborate on machine learning models while ensuring data accuracy and security.

The AWS Data Engineer will build and maintain data architecture, manage data pipelines, collaborate with data scientists, and implement data storage solutions on AWS Cloud.