Data Engineer at Goldman Sachs | Bachelor’s/Master’s Degree, 3+ Years Experience | Hyderabad | Apply Online

Goldman Sachs Data Engineer — Hyderabad

Goldman Sachs is hiring a Data Engineer in the Lakehouse and AI Data Platform team for its Hyderabad location. This role is suitable for candidates with strong Python or Java programming skills and distributed data processing knowledge. Key things to know: it involves working with a modern data stack (Snowflake, Databricks, Spark), and salary and work mode are not clearly disclosed by the source.

Why This Job Stands Out

• Clear technical focus on building batch and streaming data pipelines on the Lakehouse and AI data platform.
• Good fit for candidates with Python or Java, SQL, and Apache Spark experience.
• Involves working with modern technologies like Snowflake, Apache Iceberg, Databricks, and Kafka.
• 3+ years of experience and a Bachelor’s or master’s degree are specifically required.
• Job ID 169322 is available through the official Oracle Cloud careers system.

What You’ll Do

• Design, build, test, and support batch and streaming data pipelines.
• Refactor and modernize existing data flows for improved reliability and performance.
• Develop raw, refined, and curated datasets supporting analytics, reporting, and AI use cases.
• Apply data modeling principles to accurately represent business entities and historical change.
• Implement controls to validate data completeness, accuracy, and consistency across pipelines.
• Contribute to technical design, code quality, and engineering practices within the team.

Eligibility

• Bachelor’s or master’s degree in a relevant discipline.
• 3+ years of hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including optimization and troubleshooting.
• Experience with distributed data processing frameworks like Apache Spark.
• Working knowledge of common data formats such as JSON, Avro, and Parquet.
• Understanding of temporal data modeling, schema design, and data compatibility.

Important Watch-Outs

No major watch-out is clearly disclosed in the pasted JD. Candidates should still confirm salary, shift expectations, work mode, and joining conditions before applying.

Who Should Apply

Best for candidates who enjoy hands-on data engineering, pipeline building, and working with scalable data platforms.

Who May Skip

May not suit candidates looking for pure data analyst, data science, or non-technical business intelligence roles.

Salary and Benefits

Salary: Not disclosed by source.

Benefits: Not disclosed by source.

Apply Now

Apply through the official Goldman Sachs careers link: Apply for Goldman Sachs Data Engineer.

Before applying, ensure your resume highlights Python/Java programming, Apache Spark experience, and data modeling knowledge.

Final Take

This role is best for software engineers moving into modern data platform engineering. Biggest positives are the exposure to top-tier data technologies and the focus on scalable pipelines. Main trade-off is the lack of upfront clarity on compensation and work mode.