Data Engineer

3 weeks ago

Ghaziabad, Uttar Pradesh, India Indsafri Full time

Hiring Now: Senior Data Engineers (Banking Domain – 2 Positions)

Location: Remote

Experience: 7+ Years | Banking sector experience preferred

Type: Contract

About the Opportunity

We're looking for highly skilled Senior Data Engineers to join a mission-critical banking project. This is your chance to work on cutting-edge data pipelines, streaming platforms, and cloud-based infrastructures—building scalable, high-performance solutions for a leading financial services environment.

What You'll Work On

  • Designing & implementing ETL pipelines for large-scale data ingestion & transformation.
  • Building real-time streaming solutions using Apache Kafka (mandatory).
  • Leveraging Apache Spark, Scala, and Streaming frameworks for distributed data processing.
  • Managing workloads in Kubernetes and deploying solutions on AWS (mandatory).
  • Writing clean, optimized code in Python, .NET C#, and SQL.
  • Enabling BI reporting using Power BI or equivalent tools.
  • Integrating diverse data sources, including Salesforce (advantageous).
  • Exploring Big Data, ML/AI, and Data Lake solutions for advanced analytics.

What We're Looking For

  • 7+ years in Data Engineering or related roles.
  • Strong banking/financial services background.
  • Apache Kafka, AWS, Kubernetes – MUST HAVE.
  • Proficiency in ETL, Apache Spark, Scala, Python, SQL, and .NET C#.
  • Experience with Power BI (or similar).
  • Exposure to Big Data, ML/AI, and Data Lakes (bonus).

Soft Skills That Make You Stand Out

  • Strong problem-solving skills and analytical mindset.
  • Excellent communication & collaboration abilities.
  • Self-driven with the ability to thrive in fast-paced environments.

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