Lead / Sr. Data Engineer - W2
Congensys Corp
Columbus, OH, United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Amazon Web Services
Extract Transform Load (ETL)
Data Retrieval
Data Warehousing
Python (Programming Language)
Snowflake
Data Lakes
Pyspark
AWS Glue
Data Pipelines
Requirements
Team is responsible for creating ETL pipelines - Extracting Data from external vendors and bringing it into the firm
Must be very good at building out data pipelines
Tech stack is Java/Python/Pyspark - Must be very strong on Pyspark
All of the infrastructure is on AWS - Should have decent AWS knowledge - Will be working with AWS Glue
Should be good with AWS services within the data side
Should have basic knowledge on java
Working on Data Lake and Data Warehouses - Knowledge on Snowflake is a big plus
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