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About the role
As a highly skilled and motivated Data Engineer, your role will involve: - Designing, building, and maintaining robust, scalable, and reliable data pipelines to support analytics, reporting, and AI/ML use cases - Leading the migration of legacy data architectures to modern, cloud-based, AI-ready data platforms - Developing and implementing semantic layers to enable consistent, business-friendly access to data for analytics and BI tools - Collaborating closely with business stakeholders, data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions - Ensuring data quality, integrity, security, and compliance through validation, monitoring, and governance best practices - Documenting data architectures, pipelines, and best practices to support knowledge sharing and long-term maintainability Qualifications & Core Skills (Must-Have): - Bachelors / Master's degree in Economics, Statistics, Engineering, or a related quantitative field from a top-tier university - Advanced Python & Pyspark: 2+ years of hands-on experience with performance tuning and complex query optimization - Hands-on experience with modern data architectures such as data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or Redshift - Snowflake certification (SnowPro Core required; SnowPro Advanced preferred) - Excellent communication skills, with the ability to explain technical concepts to non-technical audiences Desirable Skills (Good-to-Have): - Experience supporting AI/ML pipelines and feature engineering - Working knowledge of data visualization software such as Tableau, Power BI, and Looker - Hands-on experience with cloud platforms: AWS, Azure, or GCP At EXL, you will be part of an exciting, fast-paced, and innovative environment where you can work closely with highly experienced analytics consultants and drive real-world impact. As a Data & AI-led firm, we are always seeking innovative interventions in our client's workflows, providing you with a unique opportunity to lead in the collections services domain and stay updated on emerging trends in the data and AI landscape. As a highly skilled and motivated Data Engineer, your role will involve: - Designing, building, and maintaining robust, scalable, and reliable data pipelines to support analytics, reporting, and AI/ML use cases - Leading the migration of legacy data architectures to modern, cloud-based, AI-ready data platforms - Developing and implementing semantic layers to enable consistent, business-friendly access to data for analytics and BI tools - Collaborating closely with business stakeholders, data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions - Ensuring data quality, integrity, security, and compliance through validation, monitoring, and governance best practices - Documenting data architectures, pipelines, and best practices to support knowledge sharing and long-term maintainability Qualifications & Core Skills (Must-Have): - Bachelors / Master's degree in Economics, Statistics, Engineering, or a related quantitative field from a top-tier university - Advanced Python & Pyspark: 2+ years of hands-on experience with performance tuning and complex query optimization - Hands-on experience with modern data architectures such as data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or Redshift - Snowflake certification (SnowPro Core required; SnowPro Advanced preferred) - Excellent communication skills, with the ability to explain technical concepts to non-technical audiences Desirable Skills (Good-to-Have): - Experience supporting AI/ML pipelines and feature engineering - Working knowledge of data visualization software such as Tableau, Power BI, and Looker - Hands-on experience with cloud platforms: AWS, Azure, or GCP At EXL, you will be part of an exciting, fast-paced, and innovative environment where you can work closely with highly experienced analytics consultants and drive real-world impact. As a Data & AI-led firm, we are always seeking innovative interventions in our client's workflows, providing you with a unique opportunity to lead in the collections services domain and stay updated on emerging trends in the data and AI landscape.
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