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.

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.

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

As a Data Engineer, you will design, develop, and maintain data solutions including data pipelines and ETL processes, ensuring data quality and accessibility for stakeholders.

Design, build, and maintain data pipelines and ETL processes using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor junior engineers, make technical decisions, and continuously improve data processes and integrations.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, collaborate with cross-functional teams, provide technical leadership, mentor juniors, and improve data processes.

Design, develop, and maintain data pipelines and ETL processes using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and drive data architecture and integration solutions.

Design, develop, and maintain data solutions and pipelines. Implement ETL processes, ensure data quality, migrate and deploy data across systems, and collaborate with cross-functional teams while mentoring junior members.

Design, build, and maintain ETL pipelines and data solutions using Databricks. Ensure data quality, integrate data across systems, collaborate with cross-functional teams, mentor juniors, and drive technical decisions as an SME.

Design, develop, and maintain data solutions and ETL pipelines; ensure data quality; collaborate across teams; mentor juniors; and implement data migration and integration on Databricks/Azure platforms.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate across teams, mentor juniors, and improve data processes to meet business needs.

Design, develop, and maintain data pipelines and ETL processes using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and provide SME-level decisions and solutions across teams.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate across teams, mentor juniors, make technical decisions, and continuously improve data processes to meet business needs.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, implement data integration, collaborate with cross-functional teams, and mentor junior engineers while making team-level technical decisions.

Design, develop, and maintain ETL pipelines and data solutions using Databricks. Ensure data quality, integrate systems, collaborate with cross-functional teams, mentor juniors, and drive data process improvements.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and make technical decisions to improve data processing and integration across systems.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and drive data architecture and integration decisions.

Design, develop, and maintain data solutions and ETL pipelines using Databricks; ensure data quality and integration across systems; collaborate with cross-functional teams; act as an SME, make team decisions, mentor juniors, and continuously improve data processes and architecture.

Design, develop, and maintain data solutions and ETL pipelines, ensure data quality, migrate and deploy data across systems, collaborate with cross-functional teams, act as SME, lead and mentor junior members.

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

Design, develop, and maintain ETL pipelines and data solutions using Databricks. Ensure data quality, collaborate with cross-functional teams, mentor juniors, and drive team-level technical decisions to deploy and optimize data processes.

The Senior Data Engineer will design and maintain scalable data pipelines, develop applications, manage CI/CD, collaborate with teams, and ensure data quality in a cloud environment.

Design, build, and maintain data pipelines and ETL processes to support healthcare payments and analytics. Ensure data quality, performance, and integration across payer, provider, and consumer datasets. Collaborate with cross-functional teams to enable reporting, data models, and scalable data infrastructure.

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