Data Quality Engineer

Data Quality engineerLocation: Montgomery, AL (Onsite)Duration: 4 Months+ (This will be a long-term, one-year renewable) (Contract – Hire)Required Skills:Strong experience working in low or immature data environments, establishing data quality processes from scratch (8-10 Years)Advanced SQL expertise for complex querying, data validation, and transformation (8-10 Years)Hands-on experience with ETL/ELT pipelines (e.g., SSIS or similar tools) (8-10 Years)Proficiency in Python for data automation, validation, and pipeline integration (5-8 Years)Experience with data profiling and cleansing (anomalies, duplicates, outliers, missing values) (8-10 Years)Solid understanding of data modeling and data warehouse/lake/lakehouse architectures (8-10 Years)Experience implementing data quality frameworks and metrics (accuracy, completeness, timeliness, consistency) (8-10 Years)Experience with cloud data platforms (AWS, Azure, or GCP) and modern data warehouses (e.g., Snowflake, BigQuery) (5-8 Years)Required Tools & Platforms: (8-10 Years) Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3. Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms. Collaboration: Jira, Snowflake, or other data governance platforms.Bachelor's DegreePreferred Skills:Knowledge of DAMA-DMBoK, DCAM, MDM concepts, and governance frameworks. (8-10 Years)Experience with Microsoft Purview, Fabric, MS Power BI, and Key Vault (5-8 Years)Familiarity with AI/ML data readiness and feature-store-aligned data structuring. (5-8 Years)Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years)Master’s degree preferred.DAMA CDMP (Associate/Practitioner) · EDM Council DCAM · ASQ Data Quality Credential · Collibra Data Steward Certification · Certified Data Steward (eLearningCurve) · Cloud/AI certifications (Azure, Databricks, Google)