Top Data Engineer Jobs in Hyderabad

The Senior Staff Data Engineer will lead the development of a robust data infrastructure, focusing on ingestion, ETL/ELT processes, data quality checks, and ensuring compliance with regulatory standards. This role involves mentoring data engineers, collaborating with data scientists, and creating optimized data pipelines to enhance analytics and decision-making capabilities.

The Senior Data Engineer will develop robust data solutions for the BrightInsight platform, focusing on both batch and real-time data pipelines, utilizing Python and SQL, and ensuring data security and compliance. They will collaborate with engineering teams to optimize performance and support advanced analytics.

As a Senior Data Engineer at Oportun, you will design, develop, and maintain software and data platforms while solving business problems with technical solutions. You will mentor junior engineers, make architectural decisions, and collaborate with cross-functional teams to deliver scalable software that enhances Oportun's market impact.

As a Senior Database Engineer at Zenoti, you will assist teams with data updates, automate database tasks, manage customer technical issues, and provide feedback to improve the product, all while following defined processes and troubleshooting strategies.

The Senior Data Engineer will act as a subject matter expert for Databricks, designing and managing ETL pipelines using tools like Python and Apache Spark. Responsibilities include optimizing data architectures, implementing CI/CD pipelines, and ensuring data governance while mentoring junior engineers.

As a Senior Data Engineer at 5X, you will design and implement data solutions that address client business needs. Responsibilities include developing data pipelines, optimizing data models for analytics, collaborating with teams for seamless data integration, mentoring junior engineers, and keeping current with data engineering best practices. Proficiency in SQL and Python, alongside experience with Snowflake, BigQuery, and modern data stack tools, is essential.

The role involves working with a team to deliver data engineering solutions in a financial services environment, supporting client wellness and health management through innovative technology and services.