Data Quality Engineer

Ampcus Inc. • Milwaukee, WI

3d • Onsite

About The Position

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Requirements

• Expert-level SQL for complex querying and Python for automation scripting.
• Proficiency in frameworks like dbt, Great Expectations, Soda, Monte Carlo, or Informatica Data Quality, Databricks, Snowflakes.
• Proficiency in Power BI, Tableau.
• Hands-on experience with modern data stacks like Snowflake, AWS (Redshift/S3), Azure, or Databricks.
• Knowledge of Spark, Hadoop, Kafka, or Airflow for managing and monitoring large-scale pipelines.

Nice To Haves

• Typically, 3–8 years in Data Engineering, ETL Testing, or a specialized Data Quality role.
• A degree in Computer Science, Data Science, or a related technical field.
• High attention to detail, strong communication for explaining technical issues to non-technical stakeholders, and critical thinking for spotting hidden patterns.

Responsibilities

• Analyzing data sources to understand structure, content, and quality; identifying anomalies, duplicates, or missing values.
• Designing and implementing automated data validation frameworks (e.g., dbt tests, Great Expectations) within ETL pipelines.
• Building reusable data quality rules and monitoring systems to detect issues in real-time.
• Investigating why data discrepancies occur and working with engineering teams to drive permanent resolutions.
• Bridging the gap between business requirements (what "good data" looks like for a product) and technical implementation.
• Ensuring data handling meets regulatory standards like GDPR or HIPAA, including implementing data masking and lineage.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level