"Data Analyst (Data Integration, Quality & Governance)"

• 7+ years of relevant experience
• Experience in database design and management of database transformation and/or migration projects for software applications

Technical Skills Languages: SQL, Python, PySpark/Spark

Databricks: Delta Lake, Delta Live Tables, Unity Catalog, Workflows, Structured Streaming, SQL Warehouses
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• AWS data services: S3, Glue, Lambda
• ETL/ELT, streaming ingestion, and API-based data exchange
• Data quality, metadata, and lineage tools (e.g., Unity Catalog lineage, data quality frameworks)
• Databases: PostgreSQL, Aurora, DynamoDB

Preferred AI Skills & Techniques

AI-driven data quality checks: anomaly detection, schema-drift detection, and bias checks on training data

Preparing AI-ready data: feature engineering, labeled training datasets, and semantic embeddings
• ML-based entity resolution, record matching, and data enrichment
• NLP/LLM techniques for automated metadata tagging, classification, and entity/relationship extraction
• Databricks AI features: Delta Live Tables, Unity Catalog lineage, and feature stores