At a Glance
- Tasks: Lead the design of scalable data solutions for financial applications.
- Company: Join a leading finance sector company focused on innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and quality.
- Why this job: Make an impact in finance by optimizing data quality and integration.
- Qualifications: 10 years of IT experience with advanced skills in Python and SQL.
The predicted salary is between 123750 - 151250 $ per year.
Explore a Senior Data Engineer role where you will lead the design and development of scalable data solutions for financial applications.
This position prioritizes data quality and integration.
The ideal candidate will bring extensive experience in financial and regulatory domains, leading data architecture discussions and implementing robust pipelines.
Proficiency in Python, SQL, and Databricks is essential to meet business demands and collaborate effectively with teams globally.
Key
Responsibilities
- Collaborate to gather and define technical specifications
- Optimize schemas and data integration methods
- Lead application development across diverse platforms
- Maintain high standards through robust validation processes
- Coordinate testing efforts with QA teams
Requirements
- Ten years of IT experience required
- Advanced skills in Python, SQL Server, and Py Spark
- Relevant banking experience necessary
- Experience with data modeling and automation tools
- Strong communication skills for effective collaboration
Bring your technical expertise to an exciting opportunity that champions both innovation and quality. #J-18808-Ljbffr
Lead Data Architect in Finance Sector in Mississauga employer: Compunnel Inc.
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