Senior Data Quality / ETL Engineer
Senior Data Quality / ETL Engineer
Posted on :
30-08-2025
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1 Vacancy
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Job Description
Are you obsessed with data partner success taking action and changing the game If you have a whole lot of hustle and a touch of nerd come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points sophisticated machine learning and AI models Pattern optimizes and automates all levers of ecommerce growth for global brands including advertising content management logistics and fulfillment pricing forecasting and customer service. Hundreds of global brands depend on Patterns ecommerce acceleration platform every day to drive profitable revenue growth across 60 global marketplacesincluding Amazon eBay Tmall TikTok Shop JD and Mercado Libre. To learn more visitor email.
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweeks Global Most Loved Workplaces.
We are seeking a highly motivated and detail-oriented Data Quality Engineer to join our growing team. Youll work closely with Data Engineers Data scientists and business team to ensure the accuracy completeness and reliability of our data through rigorous testing of ETL workflows data pipelines and building robust data quality checks. You will play a critical role in maintaining data integrity and supporting data-driven decision-making across the organization.
Roles and Responsibilities
- Analyze business and technical requirements to design develop and execute comprehensive test plans for ETL pipelines and data transformations.
- Perform data validation reconciliation and integrity checks across various data sources and target systems.
- Build and automate data quality checks using SQL and/or Python scripting.
- Identify document and track data quality issues anomalies and defects.
- Collaborate with data engineers developers QA and business stakeholders to understand data requirements and ensure data quality standards are met.
- Define data quality KPIs and implement continuous monitoring frameworks.
- Participate in data model reviews and provide input on data quality considerations.
- Perform root cause analysis for data discrepancies and work with teams to drive resolution.
- Ensure alignment to data governance policies standards and best practices
- Experience with data quality frameworks (e.g. Soda Great Expectations Deequ Monte Carlo DBT Test).
- Experience with modern cloud data ecosystems (AWS Snowflake Apache Spark Redshift).
- Advanced knowledge of SQL including the ability to write stored procedures triggers analytic/windowing functions and performance tuning.
- Familiarity with data pipeline tools like Airflow DBT or Informatica.
- Experience integrating data validation processes into CI/CD pipelines using tools like GitHub Actions Jenkins or similar.
- Background to big data platforms data lakes or non-relational databases.
- Understanding of data lineage and master data management (MDM) concepts.
- Experience with Agile/Scrum development methodologies
- Bachelors degree in Computer Science Information Technology or a related field.
- 8 plus years of experience as a Data Quality Engineer ETL Tester or a similar role.
- Strong understanding of ETL concepts data warehousing principles and relational database design.
- Proficiency in SQL for complex querying data profiling and validation tasks.
- Familiarity with data quality tools and testing methodologies.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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