Description

You will design, build, and maintain data pipelines using cloud services and data processing frameworks.

Responsibilities

  • Design, develop, and maintain data pipelines using AWS services and Databricks.
  • Utilize Python and PySpark for data transformation and processing.
  • Implement data modeling and warehousing solutions for analytics.
  • Write complex SQL queries for data extraction and performance tuning.
  • Monitor and optimize data workflows for efficiency and reliability.

Required Skills

  • 5+ years of professional experience.
  • Expertise in PySpark and Python.
  • Proficiency in SQL and Data Modelling.
  • Hands-on experience with AWS.
  • Experience with Databricks.
  • Knowledge of data pipeline design and ETL best practices.
  • Familiarity with data governance and compliance.

Preferred Skills

  • Experience with AWS Cloud or AWS-Amazon Web Services.
  • Familiarity with Azure Databricks or PL/SQL.

Key Skills
Education

Any Graduate

Back To Jobs