Top Data Engineer Jobs in Hyderabad

The Data Engineer role involves supporting business logic implementation, assisting with ETL pipelines, and developing data models while collaborating with senior engineers.

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

Lead the design and delivery of data-driven solutions for commercial strategy in life sciences, guiding cross-functional teams, developing data products, and providing mentorship.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

Design and maintain scalable data pipelines using PySpark. Optimize data workflows, write SQL queries, and ensure data quality. Collaborate with teams to meet data requirements and drive initiatives to completion.

Design and maintain data pipelines using AWS and PySpark, optimize workflows, collaborate on data requirements, and ensure data quality.

The Data Engineer will design and maintain scalable pipelines using PySpark, optimize workflows, write SQL queries, and collaborate with teams to ensure data quality and integrity.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

The FBS Data Engineer designs and develops data solutions, ensuring data readiness for users and implementing scalable data pipelines, using various technologies while requiring limited guidance.

Design and implement big data solutions, manage environments, analyze datasets for insights, ensure data quality, and troubleshoot issues.

The technical lead will design and build AWS data platforms, guiding engineers, ensuring delivery excellence while collaborating with product owners and stakeholders.

The Senior Data Engineer role focuses on designing and optimizing data pipelines, managing data quality, and ensuring effective data modeling for improved insights across the organization.

As a Senior Data Engineer, you'll design and develop data architectures, optimize pipelines, enforce data quality standards, and mentor junior team members while collaborating on projects and solutions.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

Exusia seeks a Snowflake Data Engineer to develop large-scale data pipelines and models, collaborate with stakeholders, and ensure data accuracy.

Seeking a Senior Data Engineer to build and maintain scalable data pipelines and infrastructure, focusing on performance and reliability in a lakehouse environment while mentoring junior engineers.

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.

The Senior Data Engineer will design and maintain data pipelines, support data workflows, promote best practices for ETL, and ensure platform efficiency while mentoring other engineers.

The Data Quality Engineer designs and executes ETL test plans, validates data transformations, automates data quality checks, and manages defects.

Design, build, and maintain scalable GCP data pipelines, data lakes/warehouses, and real-time/batch processing. Improve data quality, implement CI/CD/DevOps for pipelines, collaborate with data scientists and stakeholders, and support implementation and migration efforts.

The Big Data Developer will design, develop, and support big data solutions using technologies like Hadoop and Spark, while collaborating with teams and ensuring high-quality code production.

The Lead Data Engineer will build and maintain data acquisition and transformation pipelines, collaborate with technology teams, and support existing feed systems for data availability in business operations.