Aws Data Engineer

Barclays

Pune, India
Python and pyspark
Aws data analytics stack
Snowflake data warehousing
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.
  • Collaborate with data scientists to build and deploy machine learning models, driving innovation in the digital landscape.

Matching Summary

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

Skills & Requirements

Must-have

  • Python and PySpark
  • AWS Data Analytics Stack
  • Snowflake data warehousing
  • DBT for ELT pipelines
  • Advanced SQL and PL/SQL
  • AWS data pipeline development

Nice-to-have

  • Data governance and lineage tools
  • Orchestration tools like Airflow
  • Ab Initio ETL tool knowledge
  • Stakeholder engagement and requirement elicitation
  • Cloud-based enterprise data warehouse implementation

Key Requirements

  • Hands-on experience with Python and PySpark
  • Experience with AWS Cloud development
  • Experience with Snowflake and DBT
  • Experience writing advanced SQL and PL/SQL
  • Experience with AWS data pipeline development
  • Worked on at least two major project implementations

Work Rights

Not specified

Tailored Resume

Cover Letter