Job description

Our client, a Financial company, is looking for a Senior Big Data/Machine Learning Engineer for their McLean, VA location. Responsibilities: • RISK - AML • Nexus is a data engineering team, that provides Customer data, Transaction, data Investigate data to AML for thorough job • This is within the Transaction Data to build data pipelines for AML use cases, eg: Wires pipeline, data from enterprise payments and process transform into one lake data lake • A big initiative for cash transactions in to this space, 20-30 Data pipelines building, reading data from various different LOBs, transforming and enriching to meet the quality expectations • Building Cash data pipeline, Client migration, how to use them for Cash Data pipeline • Pipelines are on PySpark, AWS Glue, & Snowflake Requirements: • Hands on Data Engineer role with strong Python, PySpark, Data Engineering, SQL & AWS background • Build data pipelines, thorough testing, test data, validation, provide production support, for contingent staff workers • On call Support expectations, rotational basis, Wed-Wed once in a 6 week. • Top Skills: • 5+ Yrs exp is a must • Python & PySpark exp is a must • Snowflake & SQL exp is a must • AWS exp is a must Why Should You Apply? • Health Benefits • Referral Program • Excellent growth and advancement opportunities

Requirements

Must-haves

Our client, a Financial company, is looking for a Senior Big Data/Machine Learning Engineer for their McLean, VA location.
Nexus is a data engineering team, that provides Customer data, Transaction, data Investigate data to AML for thorough job
This is within the Transaction Data to build data pipelines for AML use cases, eg: Wires pipeline, data from enterprise payments and process transform into one lake data lake
A big initiative for cash transactions in to this space, 20-30 Data pipelines building, reading data from various different LOBs, transforming and enriching to meet the quality expectations
Building Cash data pipeline, Client migration, how to use them for Cash Data pipeline
Pipelines are on PySpark, AWS Glue, & Snowflake
Hands on Data Engineer role with strong Python, PySpark, Data Engineering, SQL & AWS background
Build data pipelines, thorough testing, test data, validation, provide production support, for contingent staff workers
On call Support expectations, rotational basis, Wed-Wed once in a 6 week.
5+ Yrs exp is a must
Python & PySpark exp is a must
Snowflake & SQL exp is a must
AWS exp is a must
Why Should You Apply?
Referral Program
Excellent growth and advancement opportunities

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningawspythonsql

Platform: jobdiva
Effort: medium