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Arkhya Tech Inc.

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Senior Data Engineer Banking Domain

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Summary

Senior Data Engineer (11+ years) working on banking data systems: developing large SQL Server datasets, building ETL pipelines with Databricks PySpark, designing OLTP/OLAP data models, and leading migrations to cloud data warehouses like Snowflake or Redshift, collaborating closely with business stakeholders.

Elevate your career as a Senior Data Engineer specializing in SQL and data warehousing within the banking sector. Leverage your expertise in Python and Pyspark to develop enterprise-level systems.

We are seeking a Senior Data Engineer with over 11 years of experience, focusing on SQL Server and ETL pipelines using Databricks Pyspark. This role requires collaboration with business users and a solid understanding of data warehousing concepts. Ideal candidates will help drive cloud migrations for enterprise systems and refine data architecture.

Key Responsibilities: • Develop large datasets using SQL Server • Create and deploy ETL pipelines with Databricks Pyspark • Design data models for OLTP and OLAP systems • Collaborate with business stakeholders on data needs • Lead migration to cloud data warehousing solutions

Requirements: • Minimum 11 years of relevant experience • 5+ years in SQL Server development • Proficient in cloud platforms like Snowflake or Redshift • Strong experience in data modeling techniques • Proven leadership in cloud migration projects

Utilize your skills in data engineering and cloud solutions to transform banking data systems.

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