Description

Design and build data infrastructure solutions, including ETL pipelines and data warehousing systems.

Responsibilities

• Devise and build ETL pipelines using Python from scratch.
• Write efficient, reusable code for data ingestion and processing.
• Analyze and develop complex SQL queries across multiple dialects.
• Ingest, cleanse, govern, and report data from data warehouses.

Required Skills

• 10+ years of professional experience in data engineering.
• Strong command of Python and expert knowledge of OOP principles.
• Proficiency in SQL (MS SQL, SQL Server, DB2, Oracle).
• Experience with Airflow and developing DAGs.
• Familiarity with BigQuery and Delta Lakehouse.
• Experience with data modeling, schemas, and entity relationships.
• Expertise in ETL and Data Warehousing concepts.

Preferred Skills

• Experience with Node.js and RDBMS architectures.

Key Skills

Education

Any Gradute