[Remote] Azure Data Engineer
Note: The job is a remote job and is open to candidates in USA. The organization is undergoing a digital transformation across its Americas Division to modernize technology and strengthen its data-driven approach. The Senior Azure Data Engineer will support the Data Strategy team by designing and developing a strategic data platform for Capital Markets and Securities operations, including reference data systems for securities and pricing data, using Azure technologies and collaborating with cross-functional teams.
Responsibilities
- 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
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
- Financial Services
- Capital Markets
- Securities
- Financial Instruments
- Asset Classes
- Market Data
- Pricing Data
- Reference Data
- Data Governance
- Data Quality
- Data Lineage
Benefits
- Hybrid role
Company Overview
Company H1B Sponsorship