Description

You will design and build data infrastructure solutions.

Responsibilities

• Devise ETL pipelines using Python from scratch.
• Write efficient and reusable code for ETL pipelines.
• Analyze and develop complex queries in SQL across various dialects.
• Programmatically ingest, cleanse, govern, and report data from data warehouses.

Required Skills

• 10+ years of professional experience.
• Expertise in ETL and Data Warehousing concepts.
• Strong command of Python.
• Expert knowledge of OOP principles.
• Proficiency in SQL across dialects including MS SQL, SQL Server, DB2, and Oracle.
• Experience with data modeling, including schemas and entity relationships.
• Familiarity with Airflow and developing DAGs.
• Experience with BigQuery and Delta Lakehouse.
• Ability to work in a hybrid model (3 days in-person in NYC).

Key Skills

Education

Any Gradute