Data Engineer--No GC's--Telecom Domain--Local to Pennsylvania
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience in the telecom domain, requiring strong skills in PySpark, SQL, Databricks, and AWS. The contract is onsite in West Chester, PA, with a focus on Big Data and ETL development.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
West Chester, PA 19380
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🧠 - Skills detailed
#Data Science #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #PySpark #Databricks #Scala #Programming #SQL (Structured Query Language) #Big Data #Cloud #AWS S3 (Amazon Simple Storage Service) #Athena #Data Engineering #Spark SQL #Teradata #"ETL (Extract #Transform #Load)" #Spark (Apache Spark)
Role description
Job Description
Hi!!
Hope you are doing great!!
Role: Data Engineer (Face-to-Face Interview must) Location: West Chester, PA (Onsite)
No GC's
Skills Required:
Strong experience in PySpark Programming (must), Databricks, Rundeck, Spark clusters
Strong SQL experience (Hive, Teradata, Spark SQL)
Good to have: Scala
5+ years of proven experience as a Data Engineer/Data Scientist in fast-paced environments
Telecom domain experience is a must
Background in Big Data / ETL Development
Cloud technologies: AWS S3, AWS Athena
Simplified JD:
Must have: PySpark, SQL, Databricks, Spark, Rundeck
Good to have: Scala
5+ years as Data Engineer/Data Scientist
Telecom domain mandatory
Big Data / ETL background
Cloud: AWS (S3, Athena)
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Description
Hi!!
Hope you are doing great!!
Role: Data Engineer (Face-to-Face Interview must) Location: West Chester, PA (Onsite)
No GC's
Skills Required:
Strong experience in PySpark Programming (must), Databricks, Rundeck, Spark clusters
Strong SQL experience (Hive, Teradata, Spark SQL)
Good to have: Scala
5+ years of proven experience as a Data Engineer/Data Scientist in fast-paced environments
Telecom domain experience is a must
Background in Big Data / ETL Development
Cloud technologies: AWS S3, AWS Athena
Simplified JD:
Must have: PySpark, SQL, Databricks, Spark, Rundeck
Good to have: Scala
5+ years as Data Engineer/Data Scientist
Telecom domain mandatory
Big Data / ETL background
Cloud: AWS (S3, Athena)
Additional Information
All your information will be kept confidential according to EEO guidelines.
