Description

You will design and build data integration pipelines for commercial projects.

Responsibilities

• Design and architect ETL solutions and perform data analysis on assigned projects.
• Analyze and organize raw data from various sources.
• Gather requirements, conduct business analysis, and write technical design specifications, including Low and High Level ETL Design Documents.
• Establish enterprise standards and best practices to ensure solution scalability across data platforms.
• Provide UAT and Production Support, ensuring regular status updates.

Required Skills

• 10+ years of IT experience with deep data management concepts (data lake, data mart, data warehousing).
• Proficiency in Snowflake database.
• Expertise in scripting/coding languages, specifically SQL and Python.
• Hands-on experience with ETL processes and methodologies.
• Familiarity with cloud computing in at least one provider: Microsoft Azure, Google Cloud Platform, or AWS.
• Experience with data cataloging and data quality tools for data discovery.
• Knowledge of relational and non-relational database management system concepts.
• Experience working with Agile tools like Jira.

Key Skills

Education

Bachelor's or Master's degrees