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Lead Data Engineer – CGL Financial Services
Job Description & How to Apply Below
In your role at CGL, you will be at the forefront of developing data products that serve as the backbone of business strategies. You’ll employ tools such as SQL and Spark to create and monitor data systems while fostering mentorship among junior developers. This role will have significant visibility as you drive the design of effective data solutions aligned with organizational objectives.
Key Responsibilities:
• Lead creation of data solutions with optimized quality
• Develop and maintain data models and architecture
• Utilize data tools for effective handling and querying
• Design an efficient semantic layer
• Mandate documentation for sustainable practices
Requirements:
• At least 5 years in data engineering roles
• 3+ years with distributed computing frameworks
• Expertise in designing cloud-based data solutions (ideally Azure)
• Strong grasp of ETL and data warehousing
• Proven ability to communicate technical concepts clearly
Elevate your career by leading data engineering initiatives with CGL, making a real difference in financial services.
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