I
Senior Data Engineer
Salary & Market Data
Matched to BLS occupational data · New York
Job Description
Position; Senior Data Engineer
Location: NYC, NY (Locals or near by only)
Duration: 12 Months
SKILLS / QUALIFICATIONS
• Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
• 8 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
• Snowflake REST API experience is required
• Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
• Informatica ETL and/or Talend ETL experience.
• Efficient SQL and PLSQL queries development and Python scripts development experience.
• Proven ability to work in distributed systems
• Proficiency with relational databases (such as DB2) querying and focus on data transformations.
• Excellent problem-solving skills and team-oriented mindset
• Strong data modelling concepts and schema design on relational data store and on cloud data store
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
• Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
• Collaborating with data scientists/experts to integrate machine learning models into Snowflake
• Data Warehousing background is required
Location: NYC, NY (Locals or near by only)
Duration: 12 Months
SKILLS / QUALIFICATIONS
• Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
• 8 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
• Snowflake REST API experience is required
• Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
• Informatica ETL and/or Talend ETL experience.
• Efficient SQL and PLSQL queries development and Python scripts development experience.
• Proven ability to work in distributed systems
• Proficiency with relational databases (such as DB2) querying and focus on data transformations.
• Excellent problem-solving skills and team-oriented mindset
• Strong data modelling concepts and schema design on relational data store and on cloud data store
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
• Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
• Collaborating with data scientists/experts to integrate machine learning models into Snowflake
• Data Warehousing background is required
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