Description

You will build and manage data pipelines and cloud infrastructure within the AWS ecosystem.

Responsibilities

  • Create and manage cloud resources in AWS to support data ingestion from RDBMS, REST HTTP APIs, flat files, streams, and time series data.
  • Implement data processing and transformation workflows using Spark and other cloud services.
  • Develop automated data quality checks to ensure accuracy and verify calculation results.
  • Build infrastructure to collect, transform, combine, and distribute customer data.
  • Participate in regular Scrum ceremonies and mentor junior team members on industry best practices.

Required Skills

  • 5+ years of experience in data engineering roles.
  • Proficiency with AWS cloud services.
  • Strong programming skills in Python.
  • Advanced SQL for complex querying and reporting.
  • Experience with Spark for big data processing.
  • Hands-on experience with Airflow for orchestration.
  • Working knowledge of Snowflake.
  • Experience handling data from RDBMS and REST HTTP APIs.
  • Ability to implement business logic within data platforms.

Preferred Skills

  • Experience with data visualization tools to present analytical results to stakeholders.

Education

Any Graduate