Senior Azure Data Engineer - Databricks Medallion Architect

Cognizant

Bridgewater (MA)

On-site

USD 80,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Sr. Azure Data Engineer to join our data platform team in the United States. The role requires hands-on work with Azure Databricks, Delta tables, Synapse, and Medallion Architecture to deliver scalable data pipelines.

You will participate in daily stand ups and scrum ceremonies, translate business needs into technical specs, and guide offshore developers while ensuring quality through unit testing and deployment coordination.

Qualifications

  • Experience in Azure Databricks is mandatory.
  • Expertise and knowledge of Medallion Architecture is required.
  • Good understanding of Delta tables, Synapse and data partitioning on Azure cloud.

Responsibilities

  • Will be working as a Azure Data Engineer.
  • Attend daily stand ups/scrum calls/quarterly PI.
  • Collaborate with BSA and product team to understand project requirements.
  • Create technical specifications and source-to-target design mapping documents.
  • Write or understand Java/PySpark code on Databricks, perform unit testing with QA.
  • Collaborate with admins on code deployments.
  • Coordinate and lead offshore developers.

Skills

Azure Databricks
Medallion Architecture
Delta tables
Synapse
Java
PySpark

Tools

Java
PySpark
Databricks
Azure Synapse

Job description

Cognizant is seeking a Sr. Azure Data Engineer to join our data platform team in the United States. The role requires hands-on work with Azure Databricks, Delta tables, Synapse, and Medallion Architecture to deliver scalable data pipelines.

You will participate in daily stand ups and scrum ceremonies, translate business needs into technical specs, and guide offshore developers while ensuring quality through unit testing and deployment coordination.

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