Data Platform Engineer

JS Consulting

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profile Job Location:

Malvern, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Hello

I hope you are doing well. Im Ankur Rao and Ive found a job opportunity that matches your skills and experience. Please review the details below and let me know if youre interested by attaching your resume. If this position isnt a fit for you I would appreciate any referrals for others who may be looking for a similar role.

Title: Data Platform Engineer

Location: Hybrid 3 Days/week Malvern PA 19355 Local Only

Duration: 6-12Month Contract

Interview: Face to Face interview

Work Authorization: US Citizen and Green Card Only

LOOK FOR LOCALS -- THERE WILL BE ONSITE INTERVIEW THE CLIENT WILL NOT HIRE ANYTHING WITHOUT ONSITE INTERVIEW PLEASE-- WE DONT WANT REASONS AT THE END STATING EMERGECY AND ALL STUFF PLEASE.

NEED DOB ( MM/DD)

NEED SSN ( LAST 4 DIGITS )

NO VIOP OR GOOGLE VOICE NUMBERS

NEED LINKEDIN

Must-Haves:

  • 5 8 years software development / data engineering experience.
  • Hands-on expertise with AWS data services:
  • Step Functions
  • Glue (ETL pipelines)
  • S3 Lake Formation Iceberg (data lakes)
  • Athena (query engine)
  • Python programming (data pipeline automation scripting).
  • CI/CD experience with GitHub
  • Strong track record of optimizing AWS infrastructure (cost performance).
  • Excellent communication and collaboration skills.

Nice-to-Haves:

  • Databricks (data processing and ML workflows).
  • Synthetic data generation experience.
  • Prior architecture/design responsibilities for enterprise data platform
Hello I hope you are doing well. Im Ankur Rao and Ive found a job opportunity that matches your skills and experience. Please review the details below and let me know if youre interested by attaching your resume. If this position isnt a fit for you I would appreciate any referrals for others wh...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala