Senior Azure Data Platform Engineer (Hybrid)

Amicis Global

Charlotte (NC)

Hybrid

USD 110,000 - 150,000

Full time

14 days+
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Job summary

Amicis Global is seeking an Azure Data Engineer to drive a strategic data platform on Azure for our Americas division, starting with securities and pricing data. You will collaborate with Capital Markets and Nikko Securities teams and assist in expanding data domains across the organization.

The role requires 10+ years in software data engineering, strong Azure cloud experience, and expertise in Python/PySpark, Databricks, and data governance.

Qualifications

  • 10+ years of experience in software development with Python/PySpark.
  • Proven Data Engineer/Data Quality Engineer with Azure cloud experience.
  • Experience implementing solutions using Azure cloud services.
  • Well versed with Azure Databricks and Power BI.
  • Strong SQL skills with RDMS/noSQL databases.
  • Familiarity with DevOps lifecycle (git, Jenkins) and CI/CD.
  • Knowledge of ETL/ELT processes and data governance tools.

Responsibilities

  • Develop and evolve a strategic data platform on Azure for Capital Markets and Nikko Securities.
  • Lead reference data and pricing data environments, expanding to other data domains.
  • Collaborate with cross‑functional teams and follow internal standards for data strategy delivery.
  • Work across Charlotte, Jersey City, and India to support data platform initiatives.

Skills

Python
PySpark
Azure
Azure Databricks
SQL
Power BI
Data Quality
Collibra
DevOps
ETL/ELT

Tools

Azure Data Factory
Azure Lake Gen 2
Azure Databases

Job description

Amicis Global is seeking an Azure Data Engineer to drive a strategic data platform on Azure for our Americas division, starting with securities and pricing data. You will collaborate with Capital Markets and Nikko Securities teams and assist in expanding data domains across the organization.

The role requires 10+ years in software data engineering, strong Azure cloud experience, and expertise in Python/PySpark, Databricks, and data governance.

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