Senior Data Engineer (AWS, Python/Java)

Staffnix • Science & Engineering • Python • Java • SQL • Scala • ETL/ELT • AWS Glue • 1 day ago
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Salary
≈ $25k – $50k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Employment
Full-Time

First seen by Alion on Oct 8, 2026.

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Staffnix

Staffnix is an Indian recruitment platform that connects recruitment agencies with employers and job seekers, giving partner agencies sourcing support and shared mandates and charging only on successful placements. It describes itself as the first business-to-business recruitment agency platform in India and advertises client vacancies for product companies, including short-term contracts, through job boards such as Cutshort. Its current mandates include product designers, backend engineers with Core Java, DevOps engineers and product managers in Pune, Bengaluru, Gurgaon, Hyderabad, Chennai and Mumbai.
staffnix.com • Pune • Bengaluru • Mumbai • Hyderabad • Kolkata • Job Boards & Aggregators • Recruiting & Staffing
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Experience 6-9 year's only.

immediate joiner only.

Strong Data Engineer (AWS) Profile
2
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.
3
Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.
4
Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.
5
Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.
6
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.
7
Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.
8
Mandatory (Education) – B.Tech / B.E./ M.Tech
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