Description

You will build and maintain data pipelines and systems.

Responsibilities

• Develop and implement ETL processes for data ingestion and transformation.
• Design and optimize data models within data warehousing environments.
• Write complex SQL queries to extract and manipulate large datasets.
• Solve data-related problems by analyzing issues and determining clear solutions.

Required Skills

• 10+ years of professional experience.
• Proficiency in SQL for data querying and manipulation.
• Proficiency in at least one programming language, preferably Python.
• Foundational knowledge of database concepts and data modeling.
• Conceptual understanding of ETL processes and data warehousing.
• Experience with cloud platforms (AWS, Azure, GCP) and their core data services.
• Familiarity with data pipeline orchestration tools such as Apache Airflow or Prefect.
• Experience using version control systems like Git.

Preferred Skills

• Familiarity with Databricks or BigQuery.
• Relevant coursework or projects in big data management.

Key Skills

Education

Any Graduate