Azure Data Engineer Job at Saxon Global, Stamford, CT

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  • Saxon Global
  • Stamford, CT

Job Description

1. Big Data Platform Experience - Minimum 5 years
Cosmos (MapReducer), Azure data stack (HDI, ADLS Gen2), Spark/Scala.


2. SQL + High-Level Programming Language - Minimum 5 years
SQL queries plus experience in C#, Scala, Java, or Python (flexible, not a deal breaker).


3. CICD, Debugging & Troubleshooting - Minimum 5 years
Strong debugging, monitoring, and engineering lifecycle skills.

Typical Day


Will work with one of the engineers and engineering manager and responsible for feature design, development, validation, CI/CD, bug fixes, troubleshooting & debugging issues
Follow engineering practice and deployment rules,
SAW device is needed


Key Projects
• Security work: fixing code security issues, updating identities/secrets, ensuring secure endpoints.
• Governance: data partitioning, physical access restrictions, compliance related updates.
• Feature innovation and continuous platform enhancements.
• Maintaining and improving pipelines across Cosmos (MapReducer) and Azure data platforms (HDI, ADLS Gen2, Spark).


Typical Task Breakdown & Operating Rhythm
• 15-20% security-related fixes (code vulnerabilities, endpoint issues, secret rotation).
• Governance and compliance work (data partitioning, access control).
• Writing, modifying, and debugging code and services.
• CICD, monitoring, and standard engineering lifecycle practices.
• Mostly heads down execution work, following a task list and completing high priority deliverables quickly.
• Collaborating with FTEs who will help onboard and accelerate ramp up.
• Using SAW device access for AME domain work (pre prod/prod as allowed).

Ideal Background
Distributed system design & implementation, BIG DATA platforms knowledge, CI/CD processes, debugging & troubleshooting skills


Disqualifiers
• Long ramp up timeline or lack of experience with large scale data platforms.
• No experience in high reliability data engineering environments.
• Inability to work independently with heavy execution demands.
• Lack of any programming language + SQL exposure (manager expects at least a foundational high level language).


Best vs. Average Candidate
• Best:
o Has 5-7 yrs in large scale data engineering (Cosmos, Azure, Spark).
o Strong SQL + one high level language (C#, Scala, Java, Python).
o Prior Microsoft experience (S360, security expectations, internal processes).
o Very fast ramp up and can immediately execute tasks independently.

Job Tags

Immediate start, Flexible hours

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