**Read jd

Experience 6-9 year's only.

immediate joiner only.

Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

Solid Data Engineer (AWS) Profile

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Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

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Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

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Mandatory (Experience 3) – Must have solid programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

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Mandatory (Experience 4)



– Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

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Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

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Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

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Mandatory (Education) – B.Tech / B.E./ M.Tech**

📌 Senior Data Engineer (AWS, Python/Java) Experience 6-9 year's only immediate joiner (Bengaluru)
🏢 Talent Pro
📍 Bengaluru