Data EngineerLead

Senior Data Integration Engineer will be responsible for designing and developing Enterprise Data Warehouse solutions.

Major Responsibilities:

• 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

• 8+ years of experience in Enterprise Data Management
• 6+ years of experience in SQL Server based development of large datasets
• 1+ years experience in Data Architecture
• 2+ years Python coding experience
• Good experience in 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
• Cloud certification(s) is a big plus
• Financial Domain experience is must
• Any experience with Regulatory Reporting is a Plus