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Databricks Engineer

  • Databricks Engineer job type Posted on: Nov 04, 2026
  • Databricks Engineer experience level Creative G C
  • Databricks Engineer employment type Malvern, Pennsylvania
  • Databricks Engineer employment type Onsite
  • Databricks Engineer salary CTC
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Job Title :

Databricks Engineer

Job Type :

Contract

Job Location :

Malvern Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Job Details:
Job Title: Databricks Engineer
Location: Malvern, PA (Hybrid Onsite from Day 1)
Duration: 1+ Year (Likely to Extend for Multiple Years)
Interview Mode: Phone/Video
Job Description:
We are looking for an experienced Databricks Engineer with strong hands-on expertise in Databricks and AWS cloud services. The ideal candidate will be responsible for building, developing, and optimizing data engineering solutions using Databricks and AWS.
Key Skills & Requirements:
  • Strong hands-on experience with Databricks (primary requirement).
  • Experience with AWS services, including Lambda, Glue, DynamoDB, and related AWS technologies.
  • Experience developing and optimizing data pipelines and data processing solutions.
  • Strong understanding of cloud-based data engineering and integration.

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Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

223-15791

Employment:

CTC

City:

Malvern

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Details:
Job Title: Databricks Engineer
Location: Malvern, PA (Hybrid Onsite from Day 1)
Duration: 1+ Year (Likely to Extend for Multiple Years)
Interview Mode: Phone/Video
Job Description:
We are looking for an experienced Databricks Engineer with strong hands-on expertise in Databricks and AWS cloud services. The ideal candidate will be responsible for building, developing, and optimizing data engineering solutions using Databricks and AWS.
Key Skills & Requirements:
  • Strong hands-on experience with Databricks (primary requirement).
  • Experience with AWS services, including Lambda, Glue, DynamoDB, and related AWS technologies.
  • Experience developing and optimizing data pipelines and data processing solutions.
  • Strong understanding of cloud-based data engineering and integration.

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