Data Quality Engineer - Santa Monica and Seattle
Data Quality Engineer - Santa Monica and Seattle
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10years
1 - 1
1 Vacancy
Job Description
- Design and implement Data Quality (DQ) checks and rules to ensure accuracy and consistency.
- Perform data profiling to analyse data sources identify anomalies and understand historical trends.
- Monitor and validate Data Quality results track trends and identify spikes or drops in key metrics (KPIs).
- Define and maintain thresholds for detecting and flagging anomalies in KPIs.
- Understand and translate explicit and implicit requirements into actionable data quality measures
- Propose process improvements to enhance data accuracy and governance.
Requirements
- Proficiency in SQL querying for data analysis and quality checks.
- Strong programming skills in Python for data manipulation and automation.
- Handson experience with Spark and Snowflake for data processing and storage.
- Solid analytical skills with the ability to identify data issues and propose solutions.
- Proven experience in data quality engineering data analysis or related fields.
- Strong communication skills to effectively interact with business leaders and technical teams.
- Ability to work independently and in collaboration with crossfunctional teams.
- Familiarity with Airflow for workflow orchestration.
- Knowledge of Looker or similar BI tools for data visualization.
Data Quality, Data Profiling, SQL, data analysis, Python, Snowflake
Employment Type
Full Time
