Top Data Engineer Jobs in Hyderabad

Lead development of scalable data infrastructure, support and mentor data engineers, design and optimize data pipelines, and collaborate with product engineering teams.

The Data Engineer will design and maintain scalable ETL data pipelines using Python and GCP services, ensuring data quality and collaboration across teams.

Join the Customer Lifecycle Engineering team as a Data Engineer, focusing on building scalable ETL/ELT pipelines, data modeling, and API integrations.

The Data Engineer will develop and maintain ETL/ELT pipelines, optimize data storage, ensure data quality, and collaborate with various teams to support data needs.

The Azure Data Engineer will design and deliver scalable data solutions, optimize performance, mentor junior engineers, and implement DataOps practices.

The role involves developing ETL processes, managing data systems, preparing data for analysis, and ensuring data quality in cloud environments.

As a Data Engineer, you will build and maintain data pipelines, integrate data for advanced analytics, and ensure data governance compliance within a pharmaceutical CDMO.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

The CDP ETL & Database Engineer will build data pipelines, manage ETL processes, onboard clients, and improve data handling procedures while collaborating with teams.

The CDP ETL & Database Engineer will develop ETL processes, onboard clients, manage changes, and collaborate for process improvement in data management.

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

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

Collaborate with teams to design and implement data architecture, build pipelines, manage data, and ensure reliable data flows for business intelligence.

Collaborate with researchers and scientists to integrate and model data for analytics. Build and maintain data infrastructure, ensuring data quality and supporting product onboarding and governance.

The Data Engineer III will develop and maintain cloud-based data infrastructure, manage data architectures, optimize data pipelines, and ensure system reliability and security.

The Senior Data Engineer will develop cloud-based data tools, construct complex datasets, automate data processes, and support reporting needs.

The Senior Data & DevOps Engineer is responsible for designing and maintaining ETL pipelines, optimizing data storage, collaborating with teams, and ensuring data quality in a cloud environment.

As an FBS Analytics Engineer, you will develop analytics solutions, utilize Python and SQL, support data needs, and manage data products with cloud skills.

The Senior Cloud Big Data Engineer will design and implement data management systems, develop ETL processes, and ensure data quality while collaborating with data scientists.

Micron Technology seeks a Senior Data Engineer with over 6 years of experience in data engineering and analytics, proficient in building cloud data solutions and strong in SQL modeling and ETL processes. Candidates should also have excellent analytical skills and the ability to work in fast-paced environments.