Data Engineer designing and building scalable data systems for analytics and reporting at EXL. Collaborating with data scientists and stakeholders to deliver business insights.
Responsibilities
The Data Engineer is responsible for designing, building, and optimizing data systems
Develop scalable data models and ETL pipelines
Ensure data integrity and enable smarter analytics through BI tools like Looker
Work closely with data scientists, data engineers, product managers, and other stakeholders
Facilitate the seamless integration of new data assets and models
Requirements
6 to 8 years of experience in Data Engineering
Enthusiasm for working with business stakeholders and data scientists
Experience in financial services, payment services, or fraud prevention is a plus
Skilled in translating industry-specific metrics into well-documented, performant code
Experience building production Spark applications for batch ETL pipelines
Experience building ETL pipelines using job orchestration tools like Airflow or Prefect
Experience in creating data marts for use in BI applications such as Tableau or Power BI
Exposure to Python for scripting, data manipulation, and automation
Proficiency in SQL a must have
Job title
Assistant Manager – Brand Marketing, Data Engineer, Engineering
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