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
Numbers & Facts
Location
Charlotte, NC
Industry
Other/Not Classified
Salary
$65–$71 Per Hour
Company Size
100 to 499 employees
Year Founded
1998
Website
www.eteaminc.com
About Company
Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
Skills
Best Practicesunmatched
Capital Marketsunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Lakeunmatched
Data Managementunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Financial Servicesunmatched
Gitunmatched
IBM Product Familyunmatched
Informaticaunmatched
Jenkinsunmatched
Microsoft Windows Azureunmatched
NoSQLunmatched
Power BIunmatched
Pricingunmatched
Python Programming/Scripting Languageunmatched
Quality Engineeringunmatched
Relational Databases (RDBMS)unmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Securitiesunmatched
Software Developmentunmatched
Software Engineeringunmatched
Strategic Planningunmatched
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