Job description

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 Qualifications Technical 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 Qualifications • Background: Data engineering or analytics engineering experience • Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform • 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

Requirements