Top Data Engineer Jobs in Hyderabad

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.

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.

As a Data Engineer, you will design, develop, and maintain data solutions, focusing on data pipelines and ETL processes while mentoring junior team members.

Design, develop and maintain data solutions, ensure data quality, implement ETL processes, and mentor junior members while collaborating across teams.

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

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.

The role involves developing and maintaining data pipelines and solutions to support business decisions, collaborating with teams, and building scalable applications.

The Data Engineer I role involves building and optimizing reliable data pipelines, transforming raw data into analytics-ready formats, and ensuring data quality and governance in support of commercial analytics.

The Data Engineer designs, develops, and maintains data solutions, creating pipelines and ensuring data quality and ETL processes.

The AI Data Engineer will develop ETL pipelines for structured and unstructured data, ensuring data quality and integrity for AI initiatives, and collaborate on automation solutions.

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

As a Data Engineer, you will develop scalable data management solutions, architect data pipelines, and collaborate with teams to leverage data for decision-making insights.

The Data Engineer leads the development and deployment of MDM data models, ensuring data quality and compliance while mentoring team members and collaborating with other technical teams to improve enterprise data architecture.

The Data Engineer I will build and improve data pipelines, ensuring data quality and governance while collaborating with analysts and stakeholders.

The HR Tech Data Engineer will own the People Technology ecosystem, manage data architecture and analytics dashboards, integrate AI solutions, and ensure data compliance while partnering with senior leadership.

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.

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.

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 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 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.