Data Quality Engineer

E-Solutions

United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Microsoft Azure Big Data Continuous Integration Data Governance Extract Transform Load (ETL) Data Mapping Data Profiling Data Warehousing Python (Programming Language) Metadata Query Optimization

+7 more

Reference Data Standard Sql Talend Google Cloud Snowflake Pyspark Data Pipelines

Requirements

Strong Data Quality Engineering & Validation experience.
Snowflake is mandatory - strong SQL, data profiling, tables/views, and query optimization.
Experience with ETL/ELT pipelines, data warehouses, and large datasets.
Strong understanding of data quality frameworks, including:
Data profiling & validation
Unit, integration & reconciliation testing
Completeness, accuracy, consistency, freshness & integrity checks
Data drift, duplicates, null patterns & business-rule validation
Experience with source-to-target mapping, crosswalks, master/reference data, and reconciliations.
Knowledge of Data Governance, metadata, lineage, audit & regulatory requirements.
Ability to perform root-cause analysis and implement preventive controls.
Experience building automated DQ checks, dashboards and reports.
Preferred: Great Expectations, dbt tests, Informatica DQ, Talend DQ.
Good to have: Python/PySpark, Azure/AWS/Google Cloud Platform, CI/CD.
Domain experience in Healthcare, Finance, or other regulated industries is a plus.
Strong analytical, communication, stakeholder-management, ownership, and problem-solving skills.