Hybrid Azure Data Engineer: Data Platform & Quality Lead

NSD International, Inc.

Charlotte (NC)

Hybrid

USD 84,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

401(k) matching
Dental insurance
Health insurance
Vision insurance

Job summary

NSD International, Inc. is hiring an Azure Data Engineer for contract work to support an Azure-based data platform. You will collaborate with the team to develop and refine data capabilities.

The initial focus is establishing a reference data system for securities and pricing, then expanding to additional domains, governance, and data quality tooling. Proficiency in Python, PySpark, SQL, and Azure services is required; hybrid work in Charlotte, NC.

Qualifications

  • 10+ years of software development experience using Python and PySpark.
  • Proven Data Engineer/Data Quality Engineer with Azure cloud experience.
  • Hands-on with Azure Data Factory, Lake Gen 2, Databases and Databricks.
  • Experience with Collibra Data Quality/Governance and data lineage tools.

Responsibilities

  • Support the active development of an Azure data platform in close coordination with the team.
  • Begin with establishing a reference data system for securities and pricing data, then expand to additional data domains.
  • Follow internal development standards to contribute to the Data Strategy agenda.
  • Implement Azure Cloud Platform solutions across the listed qualifications.

Tools

Python
PySpark
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Databricks
Power BI
SQL
RDMs
noSQL
git
Jenkins
CI/CD processes
ETL/ELT
Data Quality
Collibra Data Quality
IDQ
IBM
Ab-Initio
Collibra Data Governance
data lineage

Job description

NSD International, Inc. is hiring an Azure Data Engineer for contract work to support an Azure-based data platform. You will collaborate with the team to develop and refine data capabilities.

The initial focus is establishing a reference data system for securities and pricing, then expanding to additional domains, governance, and data quality tooling. Proficiency in Python, PySpark, SQL, and Azure services is required; hybrid work in Charlotte, NC.

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