Jr. Data Engineer

Axis Bank · Commercial & Retail Banks · Python · SQL · ETL/ELT · 2 months ago
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Salary
≈ $12k – $27k per year (Estimated)
Location
In office (Mumbai)
Seniority
Junior · 2+ years exp

First seen by Alion on Sep 4, 2026.

Overview
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Profile match

Axis Bank

Axis Bank is the third-largest private-sector bank in India offering a comprehensive suite of financial products. Headquartered in Mumbai, the bank has 2,959 branches.
axis.bank.in · Mumbai · Ahmedabad · Bengaluru · Noida · Commercial & Retail Banks · Est. 1993
Tech stack of Axis Bank

Responsibilities:

  • Design, develop, and maintain ETL pipelines for data ingestion, transformation, and processing.
  • Work with PySpark and Python to process large datasets efficiently.
  • Optimise Redshift queries and manage data warehouse performance.
  • Ensure data quality and integrity in the pipeline.
  • Collaborate with data scientists, analysts, and software engineers to provide clean and reliable data.
  • Automate workflows and monitor job execution for failures.
  • Implement best practices in data engineering, performance tuning, and cost optimisation.

Requirements:

  • 2+ years of experience in ETL pipeline development using Python and SQL.
  • Hands-on experience with PySpark for big data processing.
  • Strong knowledge of AWS Redshift, including query optimisation and performance tuning.
  • Proficiency in SQL for complex queries, transformations, and aggregations.
  • Good understanding of data modelling and best practices in data architecture.
  • Strong problem-solving and debugging skills.
  • Experience with workflow orchestration tools like Airflow is a plus.
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