Top Data Engineer Jobs in Hyderabad

The Data Engineer will build and maintain ELT pipelines, develop dbt models, troubleshoot issues, and document processes while collaborating with a global team.

As a Data Engineer, you will develop and maintain scalable data pipelines using AWS, support data processing, and collaborate with teams to deliver high-quality data solutions.

Develop data pipelines for analytics and reporting, optimize workflows, assist in data ingestion, monitor job performance, and collaborate on solutions.

The Sr. Data Engineer at Micron will design and implement data management systems, develop ETL processes, and collaborate with cross-functional teams to prepare data for analysis.

The Lead Big Data Engineer will design and maintain ETL pipelines, optimize data processes, ensure data quality, and lead teams in analyzing large datasets in cloud environments.

The Senior Snowflake Data Engineer will design and optimize scalable data solutions, develop ETL/ELT pipelines, and manage data integration on the Snowflake platform.

The Snowflake Data Engineer is responsible for designing data models, creating data integration solutions, and maintaining data pipeline architecture while leveraging Snowflake and Python. The role requires strong interpersonal skills and the ability to thrive in a client-facing environment with a focus on exceeding expectations and solving problems creatively.

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 Staff Engineer, Data role focuses on Big Data engineering, developing ETL processes, database modeling, and machine learning systems. Requires strong analytical skills and collaboration in a dynamic team environment.

The Data Engineer will design and build data pipelines, integrate data from various sources, optimize workflows, and guide data strategies, supporting project management and best practices.

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

Design and maintain data solutions, build ETL/ELT processes, ensure data quality, and optimize scalable data pipelines for large-scale processing.

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

Design and operationalize enterprise data solutions on GCP. Build data pipelines, analyze and re-platform data warehouses, and communicate complex technical topics. Requires extensive experience in big data tools, databases, and GCP services.

The Senior Snowflake Data Engineer will design, implement, and optimize data solutions in Snowflake, focusing on data warehousing, ETL/ELT, and orchestration using Python and Apache Airflow.

The role involves designing and maintaining data pipelines, optimizing data models using DBT, and managing data warehouses in Snowflake while collaborating with stakeholders.

The Senior Snowflake Data Engineer will design and optimize data solutions on Snowflake, integrate ERP systems, develop ELT pipelines, and manage stakeholder requirements effectively. They require extensive experience in data warehousing and strong ERP knowledge.

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.

The role involves developing business intelligence solutions using tools like Tableau and IBM Cognos, collaborating with stakeholders, and optimizing dashboards for performance.

The Data Engineer & BI Developer designs and builds data pipelines and BI solutions for the Perceptiv Platform. Responsibilities include data engineering, platform architecture, dashboard development, enterprise integration, and data governance. The role involves optimizing performance and ensuring security while collaborating with various teams to deliver scalable data solutions.

Lead data engineering teams in building cloud-based data pipelines, optimize infrastructure performance, manage data quality, and support team development.

The Data Engineer will design, implement, and maintain data applications for cell therapy, focusing on ETL pipelines, data streaming, and quality assurance, while collaborating with cross-functional teams.

The Advanced Data Engineer implements data solutions for ERP migrations, ensuring data quality, mentoring teams, and managing projects for SAP deployments.

The Data Engineer will build and maintain data pipelines and architectures, optimize data delivery processes, and support data-related technical issues while collaborating with stakeholders.

The Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.