Data Engineering Expert
7 days ago
About Ascendion
We are a digital engineering solutions company, dedicated to delivering captivating experiences and powering growth for consumers and employees. Our software platforms and products accelerate transformation and impact for enterprise clients.
Headquartered in New Jersey, our team of 7,000+ professionals delivers solutions globally. We are built differently to engineer the next.
We have a culture that thrives on opportunity, inclusion, and partnership. Join us to change the world:
- Build innovative technology for leading brands
- Solve complex problems and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Mastery your craft with leading training programs and hands-on experience
Be part of a community of innovators and change-makers
Join a high-performing culture with endless ideas and a passion for tech. Our unique culture is the fabric of our company, making us diverse and unique.
About the Role:
Data Engineer Job Title:
Work Location: Bengaluru, Hyderabad, Chennai, Pune, Vadodara (Hybrid work)
Description:
Responsibilities:
- Develop agile and robust ETL/ELT data pipelines for enterprise-grade applications
- Transform raw data into scalable data models consumed by data analysts and scientists
- Design, build, and update foundational analytics data models for simplified analyses across products
- Implement best practices for quality, robust data including data monitoring and alerting, DQ frameworks, and regression methodologies
- Develop automated solutions to reduce manual effort
- Thoroughly review and document code changes and orchestrate deployments
Estimated Salary:$140,000 - $180,000 per year
Requirements:
- Bachelor's degree or higher in computer science, engineering, mathematics, physics, or related technical discipline
- Minimum of 8+ years of experience working in a data engineering role focused in finance analytics
- Strong communication skills, both written and verbal
- Proficient in Python and SQL, with advanced SQL ability including dimensional modeling and data model design
- Experience developing orchestration/scheduling jobs, preferably Airflow, and proficiency in cloud platforms, preferably AWS
- Previous hands-on professional experience working with finance metrics, data, and systems
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