Sr. Data Azure Engineer Job at Nityo Infotech, Deerfield, IL

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  • Nityo Infotech
  • Deerfield, IL

Job Description

  • Act as the lead engineer for each domain
  • Collaborate with Solution Architects to ensure understanding needed for engineering level guidance to nearshore teams
  • Translate architecture design to engineering level guidance
  • Own specifying architectural designs into sprint-ready engineering tasks for assigned domain
  • Ensure delivery to the solution architecture within domain
  • Answer design questions for sprint teams
  • Participate in backlog refinement sessions to align team with the architecture
  • Act as the internal technical expert supporting Product design and Engineering teams on demonstrations and technical discussions.
  • Create/Update documentation such as solution design patterns and engineering standards.
  • Lead technical discussions around APIs, integrations, data flow, compliance and security.
  • Serve as a trusted advisor on best practices, technical implementation, and scalability.

Skills and Experience You Will Need:

Required:

  • Experience with Python, Spark, Databricks, Azure Event Hub, ADF, Delta Lake Tables
  • Able to write optimized ETL pipelines, manage distributed compute jobs, and handle large-scale data transformations.
  • Experience with Azure Data Factory (orchestration) and Azure Event Hub (ingestion/event streaming)
  • should know how to manage data movement, ingestion triggers, and pipeline tuning in a production Azure environment.
  • Able to code in Spark, and understand execution models, partitioning strategies, caching, broadcast joins, and how these affect performance in Azure's ecosystem

Desired:

  • Scala expertise
  • Pharmacy domain knowledge (or retail, healthcare, or regulated data domains)
  • Engineering standards and documentation authorship
  • Understanding of API design and integration fluency
  • Updated skills matrix for the submissions:

Job Tags

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