Azure Data Engineer

Job Title: Azure Data Engineer
Duration: 12 months Contract
Location: Charlotte, NC 28202
Hybrid Role
Job Experience Level: Senior (10 Years)

Role Description
The organization is undergoing a Digital Transformation across its Americas Division as it continues to modernize its technology, strengthen its data-driven approach, grow, and plan for the future.
As part of this expansion, we are seeking experienced Software Data Engineers across Charlotte, NC, Jersey City, NJ, and India , with 10 years of relevant experience , to support the design and development of a strategic data platform for Capital Markets and Securities operations.
Role Objectives

• Become part of the Data Strategy team supporting Capital Markets and Securities operations across the organization.
• Actively participate in the development of a strategic data platform in close coordination with internal data and technology teams.
• Contribute to the establishment of a reference data system for securities and pricing data , with plans to expand into additional data domains.
• Follow internal development standards and best practices while contributing to the overall objectives of the Data Strategy team.
• Design and implement solutions on the organization's Azure Cloud Platform using the required technologies and expertise outlined below.
• Collaborate with cross-functional teams to develop scalable, reliable, and high-quality data solutions.

Qualifications and Skills

• 10 years of experience in software development using Python, PySpark, and related frameworks .
• Proven experience as a Data Engineer or Data Quality Engineer with strong experience in Azure Cloud .
• Hands-on experience implementing solutions using:
  • Azure Cloud Services
  • Azure Data Factory
  • Azure Data Lake Gen2
  • Azure Databases
  • Azure Databricks
  • Data Quality Frameworks / Solutions
  • Collibra Data Quality or other Data Quality tools such as Informatica Data Quality (IDQ), IBM, or Ab Initio
  • Collibra Data Governance
  • Data Lineage
  • Power BI
• Strong hands-on experience with Azure Databricks .
• Strong SQL skills with RDBMS or NoSQL databases.
• Familiarity with the DevOps lifecycle , including Git, Jenkins, and related tools.
• Experience with CI/CD processes .
• Good understanding of ETL/ELT processes .
• Strong understanding of data engineering principles, data quality, and data management.
• Experience in the financial services industry is a plus.
• Knowledge of financial instruments, asset classes, and market data is a plus.

Preferred Industry Experience
Experience in the following areas will be considered an advantage:

• Financial Services
• Capital Markets
• Securities
• Financial Instruments
• Asset Classes
• Market Data
• Pricing Data
• Reference Data
• Data Governance
• Data Quality
• Data Lineage