Senior Data Integration Engineer

Senior Data Integration Engineer
Pay range 90-100/hr
onsite NYC- 2-3 days/week

• Experience designing and developing Enterprise Data Warehouse solutions.
• Demonstrated proficiency with Data Analytics, Data Insights
• Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process
• Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources.•
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

• 10+ years - Enterprise Data Management
• 10+ years - SQL Server based development of large datasets
• 5+ years with Data Architecture
• 3+ years' experience in Finance / Banking industry – some understanding of Securities and
• Banking products and their data footprints.
• 2+ years Python coding experience
• Proficient with Data Visualization tools
• Hands-on experience with Snowflake utilities such as SnowSQL and SnowPipe
• Working knowledge of MS Azure configuration items with respect to Snowflake.
• Hands-on experience with Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing
• Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills
• Capable of discussing enterprise level services independent of technology stack
• Experience with Cloud based data architectures, messaging, analytics
• Superior communication skills
• Cloud certification(s)

Any experience with Regulatory Reporting is a Plus

Education:

• Minimally a BA degree within an engineering and/or computer science discipline
• Master's degree strongly preferred