Data Engineer for Financial Institution

2 days ago


Kanpur, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity

A talented data engineer is required to design and develop robust data pipelines, orchestrate complex workflows, and process large datasets for a leading financial institution. The ideal candidate will have 6+ years of experience in data engineering, proficiency in Pyspark, Dataflows, Dataproc, Apache Airflow, and Java or Python.

Key Responsibilities:

  • Design and implement scalable data pipelines using Big Query, Cloud Storage, and other GCP services
  • Orchestrate business-critical workflows using Apache Airflow and CI/CD pipelines
  • Process and transform large datasets using efficient ETL processes
  • Develop and maintain RESTful or GraphQL APIs
  • Troubleshoot and resolve issues with data components and documentation

Requirements:

  • 6+ years of experience in data engineering
  • Proficiency in Pyspark, Dataflows, Dataproc, Apache Airflow, and Java or Python
  • Experience with Big Query, Cloud Storage, and other GCP services
  • MUST have previous financial or banking experience

What We Offer:

  • A competitive salary and benefits package
  • The opportunity to work on high-profile projects with a leading financial institution
  • A collaborative and dynamic work environment

About the Role:

This role offers an exciting opportunity to work with a top-tier client, delivering innovative solutions and driving business growth. If you are a seasoned data engineer looking for a new challenge, please apply now.



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