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Data Engineer (AWS+Pyspark)

Zensar Technologies • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • AWS Glue • 2 days ago
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Salary
≈ $14k – $35k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. Zensar Technologies scores A on the Alion truth index.

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Profile match

Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com • HQ: Pune, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1991
Tech stack of Zensar Technologies

Data Engineer (AWS + pySpark)

  • Having 4+ yrs years of relevant experience, which includes hands on experience in Big Data technologies.
  • Mandatory - Hands on experience in Python and PySpark.
  • Build pySpark applications using Spark Dataframes in Python.
  • Worked on optimizing spark jobs that processes huge volumes of data.
  • Hands on experience in version control tools like Git.
  • Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
  • Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
  • Good to have knowledge of datawarehousing concepts - dimensions, facts, schemas- snowflake, star etc.
  • Have worked with columnar storage formats - Parquet etc. Well versed with compression techniques - Snappy, Gzip.
  • Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.am
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