Data Engineer
Stellent IT LLC
McLean, VA, United States
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Data Analysis
Python (Programming Language)
Standard Sql
SQL Databases
Transaction Data
Snowflake
Apache Spark
Data Pipelines
Web Api
Job description
- Manager is the Lead for transaction data team - they provide data to all lines of business
- His team is building data pipeline for a wide array of use cases right now but main focus for these 2 contractors is Discover Personal Loan pipeline
- They had 2 teams before - but now all one team with several micro pods - this role will do hands on coding, build data pipelines and conduct data analysis
- 2 roles open now - these are for Discover Personal Loan project - building data pipelines to bring it into cap one ecosystem (DPL is an existing Discover product), * This will be an in person interview with Python and SQL coding test, report to the c2 building for interview - 2 step process back to back - all in one day
- If candidate has experience building API’s, that’s a plus and also prior experience supporting pipeline and strong data analysis experience as well as profiling and production support
- Preference for ex-Cap One not requirement but must be able to ramp up quickly - he will check with past manager before interviewing if prior C1
- If prior C1, Ok if candidates live in Richmond now but must work in McLean and must come in for face to face interview - his team is all here in McLean so that’s why. This is a highly collaborative role.
- These individuals Will receive furlough exemptions most likely
Requirements
Spark, Python, AWS, SQL, Glue and must be able to build data pipelines Mostly batch pipelines rather than streaming Target 5-7 years of experience Use data bricks to build low fidelity solutions - they also use Snowflake and Airflow so experience with those tools is very helpful.
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