Top Data Engineer Jobs in Hyderabad

The role involves developing data governance policies, monitoring data quality metrics, collaborating with stakeholders, and managing risks within projects.

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 Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The Lead Data Engineer will design and implement data architectures, manage data pipelines and integration solutions, ensure data quality, and provide mentorship to junior members while collaborating with stakeholders on data requirements and reporting.

Design, build, and optimize scalable data solutions on Azure. Manage data pipelines and ensure data quality while collaborating with stakeholders.

The Sr Data Engineer is responsible for acquiring, curating, and publishing data for analytical uses, ensuring data readiness and consistency, consulting on complex data projects, and developing scalable data pipelines and integrations.

Design and maintain scalable data pipelines, optimize storage solutions, ensure data quality, mentor junior engineers, and collaborate with various teams.

Design and maintain data pipelines, optimize data models, and develop reporting solutions for analytics and governance. Collaborate across teams and translate business requirements into actionable insights.

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

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.

The Senior Data Migration Developer will manage critical data migration requirements, develop custom solutions, and advise clients on data strategies using Oracle and SQL tools.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

The Software Engineer - Data Analyst / Developer will support the BI team by analyzing business needs, developing reports, dashboards in Tableau, ensuring data quality, and providing user support.

The Staff Data Architect will define data architecture standards, collaborate across teams to create scalable data solutions, and govern data quality and compliance at Gap Inc.

The Data Engineer will build solutions for large data volumes, work with data scientists, and develop machine learning models.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.

Lead the modeling of the Customer Data Platform, defining event taxonomy and ensuring reliable datasets for analytics, product insights, and machine learning. Collaborate with various teams to maintain data consistency and shape the architecture of the behavioral data platform.

The Senior Data Engineer will design and maintain pipelines for event data ingestion and validation, ensuring operational reliability and consistency for analytics.

The Senior Data Engineer will develop data ingestion, transformation, and enrichment pipelines, ensuring data quality and reliability. Responsibilities include creating Bronze and Silver data layers, using SQL and dbt for implementation, and collaborating with architects and stakeholders to align data solutions with enterprise standards.

As a Senior Data Engineer, you will develop and maintain data pipelines for healthcare data, ensuring data quality, reliability, and adherence to enterprise standards while collaborating with architects and stakeholders.