Job Title: Sr AWS Data Engineer

Experience: 8-15 years

Location: Hyderabad/Bangalore/Pune/Chennai

Mode: Hybrid

Work timing: 11 AM - 8 PM

Mandatory Skills

Lake Formation, AWS Neptune. Robust Python and SQL , Glue, Athena, S3, Lambda, graph database development

Required Skills & Experience

Must Have

5–8 years of overall data engineering experience, with a strong focus on AWS

Hands-on experience with AWS Lake Formation (data governance, permissions, LF-tags)

Working knowledge of Amazon Neptune (graph modeling, Gremlin/SPARQL query experience preferred)

Strong experience with core AWS data services: S3, Glue, Redshift, Lamda

Proficiency in Python and SQL for data engineering tasks

Strong communication skills; ability to work directly with client stakeholders

Nice to Have

Exposure to Amazon SageMaker for ML pipeline support (nice to have, not mandatory)

Experience with Apache Airflow for workflow orchestration

Interested!

Apply now: Share your profile with us at [email protected].

📌 Sr AWS Data Engineer (Hyderabad)
🏢 KHEYDIGIT
📍 Hyderabad