Aws Data Engineer - Avp

Barclays

Pune, India
Aws data analytics technology stack
Snowflake data transformation/storage
Python and pyspark experience
Build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security

Job Summary

  • Build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security.
  • Design and implement scalable and efficient data transformation/storage solutions using Snowflake and AWS technologies.
  • Lead collaborative assignments, guide team members, and consult on complex issues to drive project success and mitigate risk.

Matching Summary

Build and maintain systems that collect, store, process, and analyze data, ensuring accuracy, accessibility, and security.

Skills & Requirements

Must-have

  • AWS Data Analytics Technology Stack
  • Snowflake data transformation/storage
  • Python and PySpark experience
  • Unix scripting
  • AWS Cloud development
  • DBT with Snowflake ELT

Nice-to-have

  • Data governance or lineage tools
  • Orchestration tools like Airflow
  • Abinitio ETL tool knowledge
  • Data Marts and Data Warehousing concepts
  • Stakeholder engagement and requirements elicitation

Key Requirements

  • Minimum two major project implementations
  • Experience with Snowflake and AWS Tools/Technology
  • Strong Test Automation skills and framework creation
  • Experience in writing advanced SQL and PL SQL programs

Work Rights

Not specified

Tailored Resume

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