Data Analyst – Data Integration, Quality & Governance

🔥 3 minutes ago

⚔️ Virginia – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

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👻 Ghost score 12%

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Logo of Softek International

Softek International

51 - 200 employees

Founded 1987

🔒 Cybersecurity

Cybersecurity • IT

Softek International is a pioneering company dedicated to reshaping user experiences through technology innovation. They specialize in Information Technology (IT), Software Development, and Cybersecurity, providing comprehensive services such as cybersecurity solutions, identity and access management, cloud implementation and migration, and digital transformation. Softek also offers ERP/CRM consulting and implementation, business intelligence and data analytics, and mobile and custom software development. The company is recognized as a SBA certified 8A, Woman-Owned Small Business (WOSB), and holds CMMI Level 3 and ISO quality management certifications. Softek has extensive experience supporting government agencies and organizations, providing IT services that drive efficiency and enterprise outcomes.

📋 Description

• Design and manage databases • Manage database transformation and/or migration projects for software applications • Develop and support data integration using ETL/ELT, streaming ingestion, and API-based data exchange • Establish and manage data quality, metadata, and lineage practices • Prepare AI-ready data through feature engineering, labeled training datasets, and semantic embeddings • Apply NLP/LLM techniques for automated metadata tagging, classification, and entity/relationship extraction

🎯 Requirements

• 7+ years of relevant experience • Experience in database design and management of database transformation and/or migration projects for software applications • Experience with Databricks: Delta Lake, Delta Live Tables, Unity Catalog, Workflows, Structured Streaming, SQL Warehouses • Proficiency in SQL, Python, and PySpark/Spark • Experience with AWS data services: S3, Glue, Lambda • Experience with ETL/ELT, streaming ingestion, and API-based data exchange • Experience with data quality, metadata, and lineage tools (e.g., Unity Catalog lineage, data quality frameworks) • Experience with PostgreSQL, Aurora, and DynamoDB • Experience preparing AI-ready data, including feature engineering, labeled training datasets, and semantic embeddings • Experience with NLP/LLM techniques for automated metadata tagging, classification, and entity/relationship extraction

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