Python Data Engineer

Mphasis

Gurugram District, Bengaluru

Híbrido

INR 2.000.000 - 4.000.000

Tempo integral

14 dias+

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Resumo da vaga

Mphasis is hiring a Python Data Engineer in India to strengthen our data engineering capabilities. You will design and optimize data pipelines, work with PySpark, SQL, and Python, and contribute to scalable batch and real-time data processing.

The role requires 8+ years of experience, strong AWS data engineering experience, and the ability to deliver high-quality data products from complex datasets. Collaboration across teams is essential.

Qualificações

  • 8+ years of experience in data engineering or related field.
  • Strong Python, SQL and PySpark programming skills.
  • Experience implementing CI/CD for data pipelines.

Responsabilidades

  • Work mainly in Python, SQL and PySpark with CI/CD and strong data-quality and reconciliation controls.
  • Design and build scalable batch and real-time data pipelines using PySpark on AWS (Glue, S3).
  • Develop high-quality, reusable data products from complex datasets.
  • Collaborate with architects, data engineers, and business SMEs across the full define-build-test-release delivery cycle.
  • Cloud data engineering experience is essential. AI/ML forecasting exposure is a bonus.

Conhecimentos

Python
SQL
PySpark
CI/CD
Data quality
Data reconciliation

Ferramentas

AWS
Glue
S3

Descrição da vaga

Python Data Engineer

Location: GGN/BLR

Job Summary

We are seeking a candidate with strong Python and Data Engineering skills.

Years of experience needed

8+ Years

Technical Skills
  • Work mainly in Python, SQL and PySpark with CI/CD and strong data-quality and reconciliation controls.
  • Design and build scalable batch and real-time data pipelines using PySpark on AWS (Glue, S3).
  • Develop high-quality, reusable data products from complex datasets.
  • Collaborate with architects, data engineers, and business SMEs across the full define-build-test-release delivery cycle.
  • Cloud data engineering experience is essential. AI/ML forecasting exposure is a bonus.
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