Top Data Engineer Jobs in Hyderabad

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

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

As a Data Engineer, you will design, develop, and maintain data solutions, focusing on data pipelines, quality, and ETL processes to support business objectives.

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

The Azure Data Engineer role requires developing data engineering solutions using Azure technologies. Responsibilities include implementing data pipelines, performing data analysis, and collaborating with stakeholders on data-driven projects.

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

Lead data engineering teams to build and optimize cloud-based data infrastructures, focusing on retail warehousing systems and analytics while mentoring team members.

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.

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

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

Oversee clinical data standards, guide study teams, develop global standards, evaluate change requests, and ensure regulatory compliance in clinical trial processes.

The Data ETL Engineer will develop ETL processes using AWS Glue, manage data cataloging, design data models, and ensure data quality.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

The Data Engineer will design and maintain scalable data pipelines and ETL processes, working with Azure services to deliver reliable datasets and support analytics while ensuring data security and optimizing performance.

The Senior Data Engineer will design and maintain ELT/ETL data pipelines for Snowflake, optimize SQL queries, and create data models for analytics.

As a Lead Data Engineer, you will spearhead data initiatives, lead a team, develop data pipelines, ensure data quality, and manage projects to deliver high-impact solutions.

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.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.

The Senior Data Engineer will develop data solutions and platforms, collaborate with teams, manage projects, and ensure effective change management while optimizing costs.

Analyze business requirements for data visualization, design and maintain PowerBI dashboards, integrate data using SQL and Snowflake, and enhance processes.

The Senior Data Engineer will build scalable ETL/data pipelines, enforce best data engineering practices, and collaborate with business teams to optimize data handling for reporting needs.