Data Analytics Engineer (Snowflake)

  • Culver City, CA
  • Posted 12 hours ago | Updated 12 hours ago

Overview

On Site
Hybrid
$48 - $58
Contract - W2
Contract - 4 Month(s)

Skills

snowflake
python
advanced SQL expertise
Data Warehousing
OSDS/SDO

Job Details

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
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