Description

Key Skills: ETL, Python, Data Bricks, SQL

Roles and Responsibilities:

  • Design and implement end-to-end data pipelines using Python and Airflow.
  • Develop high-performance SQL queries for data extraction, transformation, and reporting.
  • Automate and modularize ETL workflows with Python scripting and reusable Airflow DAGs.
  • Utilize AWS services (S3, Glue, Redshift, Aurora RDS, CloudWatch) for scalable data solutions.
  • Integrate and transform data from multiple sources such as Alteryx, PostgreSQL, Oracle, and PL/SQL into unified models.
  • Ensure data pipelines are scalable, secure, and optimized for analytics and reporting needs.
  • Collaborate with cross-functional teams to support data-driven decision-making.

Skills Required:

  • Must-Have:
    • Strong proficiency in ETL development and Python programming.
    • Experience in data pipeline design, automation, and orchestration (e.g., Airflow).
    • Hands-on expertise in data integration and transformation.
  • Nice-to-Have:
    • Exposure to Data Bricks for advanced analytics and big data processing.
    • Strong SQL skills, including performance tuning and query optimization.
    • Experience working with AWS cloud services (S3, Glue, Redshift, Aurora RDS, CloudWatch).
  • Soft Skills:
    • Strong analytical and problem-solving skills.
    • Ability to manage multiple priorities and deliver high-quality results under deadlines.
    • Excellent communication and collaboration skills for cross-functional engagement.

Education: Bachelor's degree in Computer Science, Information Technology, or a related field

Key Skills
Education

Any Graduate

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