Data Analytics Engineer (Snowflake)We are seeking a skilled Data Analytics Engineer with top technical skills in areas that immediately need focus, including advanced SQL expertise and hands-on Snowflake experience. This role is responsible for ensuring data quality, performing operational data stewardship, and supporting data-driven decision making across the organization.
Required QualificationsTechnical Skills - SQL Expertise: Top-level SQL skills (3-4+ years) for complex querying, data manipulation, and analysis - immediate focus area
- Snowflake Experience: Hands-on experience working with Snowflake data warehouse platform
- Python Programming: 1-2+ years of Python experience for data profiling, automation, and analysis
- Data Systems Knowledge: Understanding of operational data systems architecture, including OSDS/SDO environments
- Data Warehousing: Experience with data warehousing concepts and ETL/ELT processes
- Version Control: Familiarity with version control systems (Git)
Core Responsibilities - Profile data from new environments using advanced SQL and Python techniques
- Leverage Snowflake capabilities for data analysis and quality validation
- Perform operational data stewardship tasks as needed, including manual checks of data against source systems (OSDS/SDO) where appropriate
- Develop and execute test cases based on product specifications and/or requirements gathered from team
- Trace and debug data quality issues to root cause
- Run test cases for in-development projects
- Execute regression test cases and data quality checks on live data products
- Document data quality issues and resolution steps
- Collaborate with data engineering teams on pipeline improvements
- Provide recommendations for data quality enhancements
Required Skills & Abilities - Strong analytical and problem-solving abilities
- Excellent communication skills for cross-functional collaboration
- Attention to detail and commitment to data accuracy
- Ability to work independently and manage multiple priorities
- Understanding of data governance principles
Preferred Qualifications - Background: Data engineering or analytics engineering experience
- Cloud Platforms: Experience with AWS, Azure, or GCP
- Visualization Tools: Knowledge of data visualization tools (Tableau, Power BI, etc.)
- Methodologies: Experience with Agile/Scrum methodologies
- Compliance: Knowledge of data security and compliance requirements
