Snowflake Engineer with Pyhton, SQL and PySpark exp - US
Zortech Solutions
Role: Snowflake Engineer with Pyhton, SQL and PySpark exp
Location: Charlotte, NC- Hybrid 3 days to ofc-Must be local or ready to relocate
Duration: 6+ Months
Job Description:
This position is for a Cloud Data / Reporting engineer with a background in SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.
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:
• 10+ years - Enterprise Data Management
• 10+ years - SQL Server based development of large datasets
• 5+ years with Data Warehouse Architecture, Snowflake experience preferred
• 3+ years' experience in Finance / Banking industry - some understanding of Securities and Banking products and their data footprints.
• 2+ years Python coding experience
• Experience with pyspark (good to have, should understand the architecture)
• 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, and 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
Location: Charlotte, NC- Hybrid 3 days to ofc-Must be local or ready to relocate
Duration: 6+ Months
Job Description:
This position is for a Cloud Data / Reporting engineer with a background in SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.
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:
• 10+ years - Enterprise Data Management
• 10+ years - SQL Server based development of large datasets
• 5+ years with Data Warehouse Architecture, Snowflake experience preferred
• 3+ years' experience in Finance / Banking industry - some understanding of Securities and Banking products and their data footprints.
• 2+ years Python coding experience
• Experience with pyspark (good to have, should understand the architecture)
• 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, and 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
Vacancy posted 2 days ago
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