Description

You will architect, develop, and maintain a highly scalable data warehouse and build/maintain ETL processes.

Responsibilities

• Architect, develop, and maintain a highly scalable data warehouse.
• Build and maintain ETL processes to integrate business data.
• Integrate third-party data sources such as Google Analytics, Google Ads, and Iterable into the data warehouse.
• Develop and maintain data integration pipelines using Python and Airflow.

Required Skills

• 2.5+ years experience as an ETL developer in Data Engineering, Data Warehousing, or BI.
• 4.5+ years experience as a Senior ETL Developer.
• Hands-on proficiency with Python and libraries like Pandas and NumPy.
• Strong command of SQL queries, aggregate functions, complex joins, and performance tuning.
• Experience with ETL processes, methodologies, and standards.
• Familiarity with databases including Redshift, SQL Server, Oracle, or PostgreSQL.
• Understanding of data warehousing and dimensional modelling concepts.
• Experience integrating data from disparate business systems.

Key Skills

Education

Any Graduate