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Hadoop/ ETL-Philadelphia, PA

  • Job type Posted on: Jul 20, 2026
  • Experience level Georgia IT Inc
  • Employment type Philadelphia, Pennsylvania
  • Remote status Salary: $93,600 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Hadoop/ ETL-Philadelphia, PA

Job Type :

Full-time

Job Location :

Philadelphia Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Hadoop/ ETL Location: Philadelphia, PA Rate: $45/hr. on W2 Position Type: Contract Interview Process: Phone Followed by F2F US Citizen, Green Card and GC EAD Responsibilities: Plan and execute automated and performance tests working with QA/Testing staff, project managers, technical leads, and subject matter experts. Report issues and results, researching and identifying root causes as appropriate, documenting accordingly. Research available tools and participate in initiatives to implement those that will cost-effectively enhance testing capabilities and data quality. Identify opportunities to apply existing automation or other tools to meet testing needs. Research and identify root causes of performance issues in partnership with architects, developers, and network and system engineers. Must Have's: Strong programming skills Java, C++, Python Strong Linux Unix systems engineering ETL Data Warehouse Experience with Big Data, Hadoop, QA automation. Some experience with mid-back-end QA development/ETL Experience testing with Hadoop and Hadoop app scripting Hadoop stack (Pig, Hive, Spark etc) Knowledge of NoSQL platforms such as Hbase, Mongo or Cassandra is a bonus

Jobcon Logo Position Details

Posted:

Jul 20, 2026

Reference Number:

14660_D52D239EFACAE4011E4859960178480B

Employment:

Full-time

Salary:

Not Available

City:

Philadelphia

Job Origin:

APPCAST_CPC

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Hadoop/ ETL Location: Philadelphia, PA Rate: $45/hr. on W2 Position Type: Contract Interview Process: Phone Followed by F2F US Citizen, Green Card and GC EAD Responsibilities: Plan and execute automated and performance tests working with QA/Testing staff, project managers, technical leads, and subject matter experts. Report issues and results, researching and identifying root causes as appropriate, documenting accordingly. Research available tools and participate in initiatives to implement those that will cost-effectively enhance testing capabilities and data quality. Identify opportunities to apply existing automation or other tools to meet testing needs. Research and identify root causes of performance issues in partnership with architects, developers, and network and system engineers. Must Have's: Strong programming skills Java, C++, Python Strong Linux Unix systems engineering ETL Data Warehouse Experience with Big Data, Hadoop, QA automation. Some experience with mid-back-end QA development/ETL Experience testing with Hadoop and Hadoop app scripting Hadoop stack (Pig, Hive, Spark etc) Knowledge of NoSQL platforms such as Hbase, Mongo or Cassandra is a bonus

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