Job Description
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
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