Top Data Engineer Jobs in Hyderabad

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

The Senior Data Engineer designs and modifies applications, facilitates data solutions, ensures application performance, and conducts code reviews while addressing production issues and improving data management in healthcare settings.

Lead and deliver moderate-to-large data engineering initiatives: design, code, test, and deploy big-data pipelines and batch processing solutions. Mentor engineers, troubleshoot complex issues, ensure data quality/governance, and integrate GenAI/LLM automation. Work with Spark, Hadoop, RDBMS, cloud platforms, CI/CD, and orchestration tools to meet compliance and business objectives.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes across systems.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for data migration.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for data migration.

As a Data Engineer, you will design, develop, and maintain data solutions for data generation, ensuring data quality through ETL processes.

As a Data Engineer, you will design, develop, and maintain data solutions for data generation and processing while implementing ETL processes and managing data pipelines.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes in collaboration with cross-functional teams.

Design, build, and optimize automated ETL/ELT pipelines for data movement, implement data models, ensure data quality, and enhance data governance in a collaborative environment.

Assist in designing and implementing scalable data processes, develop data pipelines, support ETL from multiple sources, and enable data-driven business solutions.

The Data Engineer will create data pipelines, extract data from systems, and convert customer requirements into technical solutions, utilizing ETL tools and SQL.

The role requires building and optimizing pySpark applications on AWS, handling big data, and utilizing version control with Git. Strong skills in Python, PySpark, and various AWS services are needed.

The Data Engineer will design and optimize data pipelines for the enterprise data warehouse, ensuring data quality, performance, and reliability while collaborating with stakeholders to meet data requirements.

Develop and maintain data analytics solutions, applying statistical models and machine learning for quality engineering and operational decision-making.

The role involves developing, delivering, and supporting data engineering solutions, focusing on cloud-based systems, ETL processes, and data modeling with a requirement for extensive experience in Snowflake and Python.

Build and enhance enterprise data pipelines using Azure Databricks and related tools. Design data models, implement ETL processes, optimize Spark jobs, write Python/PySpark and SQL code, collaborate cross-functionally, and improve architecture and CI/CD automation for scalable analytics.

The role involves leading data engineering efforts using Azure and Databricks, developing complex data solutions, optimizing performance, and ensuring effective communication. Candidates should have extensive experience in data solution development and a strong understanding of big data workloads.

The Data Engineer builds and maintains the enterprise data platform, ensures reliability, designs ETL systems, and collaborates on data projects to support client needs.

The Azure Data Engineer role requires developing data engineering solutions using Azure technologies. Responsibilities include implementing data pipelines, performing data analysis, and collaborating with stakeholders on data-driven projects.

The Data Engineer designs and maintains data platforms, builds ETL processes, ensures data quality and governance, and collaborates across teams to support analytics initiatives.

Seeking experienced Data Engineers with 5-7 years of experience in Databricks, PySpark, and Data Fabric concepts to aid in data transformation initiatives.

The Data Engineer will develop end-to-end technical solutions, ensuring performance and scalability on cloud data platforms, while leveraging programming and data integration technologies.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.