Azure data Engineer

HARAMAIN SYSTEMS INC.

β€’ $100K β€” $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data engineering with hands-on Python development
  • Strong SQL skills in development and performance tuning
  • Experience with Azure services like AKS, Blob Storage, and Key Vault
  • Proficient in REST APIs for data ingestion
  • Knowledge of Docker for container lifecycle management
  • Service account management expertise with a focus on data security
  • Familiarity with Terraform, Git, and CI/CD practices

Responsibilities

  • Build modular ETL pipelines using APIs and SQL in Azure
  • Focus on data governance and secure service account management
  • Automate processes and improve data handling capabilities
  • Implement logging and error handling in ETL scripts
  • Ensure compliance with data regulations like SOX and GDPR
  • Manage Docker containers for data engineering workflows
  • Collaborate with teams to enhance scalable architecture

Benefits

  • Onsite work at Dallas, TX or Little Rock, AR
  • In-person interview process
  • 6-month+ contract duration
  • Collaborative team environment
  • Opportunity to work with modern technologies and practices
Full Job Description
Job Description

Role: Azure data Engineer

Duration: 6 month + contract
Onsite in office in Dallas TX , OR Little Rock, Arkansas


In-person interview

4 days in the office

Need very strong Python exp - 5+ years, SQL ( 5+ years) , Azure and Apache AirFlow DAGs for orchestration

Role: Azure Data Engineer with strong development experience in Python and containerized environments. You'll be building modular ETL pipelines using APIs and SQL in an Azure-native setup, with a strong focus on data governance, secure service account usage, and automation. This role is perfect for someone passionate about scalable architecture and responsible data practices.

πŸ’Ό Qualifications
5+ years of hands-on experience in data engineering with Python development
Strong in:
Python (ETL scripting, logging, error handling)
SQL development and performance tuning
Azure ecosystem: AKS, Blob, Key Vault, Service Principles, Azure Monitor, etc.
REST APIs and ingestion from diverse sources
Docker and container lifecycle management
Service account management and data security enforcement
Familiar with Terraform, Git, and modern CI/CD best practices
Understanding of data governance, PII/PCI classification, and compliance (SOX, GDPR, etc.)
🌟 Nice-to-Haves
Experience with Microsoft Purview for cataloging and classification
Exposure to Power BI data lineage, report-level security

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