Velocity Technology is currently hiring an experienced Collibra Solutions Engineer for our direct client located in Midtown, NYC. This role can also be based on Long Island but travel to NYC is required.  This is a long term contract position. Qualified candidates should send their resume (Word Format) along with pay rate requirements to Robert Midoneck, robert@velocitytek.com

The Data Analyst & Collibra Solutions Engineer is responsible for systems data analysis, data architecture, and information management in the Collibra Data Governance & Catalog.

Responsibilities

• Work on defining Master Data, Reference Data and Data Lineage using Collibra Data Catalog.
• Developing Collibra Data Governance Workflows.
• Developing Collibra MuleSoft Connector data profiling jobs.
• Analyze systems data integrations, create data lineage mappings and corresponding Collibra assets.
• Understand the interconnection between Collibra data assets and perform additional analysis to improve metadata quality.
• Work as part of the Data Services & AI team to define, document and implement data management, enterprise data reference, data quality standards.
• Develop Data Governance KPI and metrics reporting using Collibra & Collibra Tableau connector.
• Perform metadata and data analysis, execute data clean up, as per the established standards.
  
• Assist Data Architect and Business Information Architect in data management toolset evaluation and implementation.

Requirements

• Senior Expert knowledge in data modeling tools like Erwin and database technologies. This includes ability to reverse engineer databases using Erwin, analyze tables and structures, analyze complex ETL and stored procedures and write SQL code to extract data.
• Extensive experience in Data Management, Data Security, Data Quality, Data Governance. .
• In depth knowledge and hands on experience Collibra Data Governance & Catalog including MuleSoft connector and workflows development.
• Ability to analyze systems data and data flows that requires complex logical analysis.
• Extensive Data modelling / ontology / taxonomy / metadata experience; specifically designing logical models / ontologies / data dictionaries from both business requirements and reverse-engineering.
• Experience in SQL and noSQL database design and data marts design using data modelling tools, multi-dimensional database modeling, graph databases, including modeling for analytics
  
• Knowledge of the MS Azure data technologies is a +plus: Azure Data Factory, Logic Apps, Cosmos DB, Azure Data Lake, Azure SQL, Azure SQL Warehouse, ML libraries.