Hybrid Data Engineer – Data Management and Analytics, Data Ops/Data Analyst

at EXL

• Job title: Data Engineer – Data Management and Analytics, Data Ops/Data Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: PySpark, Python, PyTorch, Scikit-Learn, Spark, SQL, Tableau
• Location requirements: Hybrid, India

About the role

• Data Engineer collaborating with client stakeholders to meet business objectives through data analytics and reporting solutions. Responsible for data modeling, pipeline development, and maintaining data governance standards.

Responsibilities

• Collaborate with client stakeholders to analyze and synthesize the client data to meet the business objective, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.
• Leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers.
• Design data models and solutions for analytical and reporting use cases.
• Build and maintain scalable data transformation workflows in dbt (data build tool) and Snowflake, ensuring clean, consistent, and well-modeled data sets that serve as the foundation for analytics and reporting.
• Implement data quality testing, documentation, and version control within dbt to enforce best practices in data governance and maintain transparency across the analytics lifecycle.
• Develop efficient, reusable data pipelines and Tableau use case layers that enable cross-functional teams to perform self-service analytics and advanced data exploration with minimal engineering dependency.

Requirements

• Master’s or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.
• 3-5 years of experience with solid data engineering skills.
• Hands-on knowledge of traditional relational data warehouse technologies, such as SQL (including Analytical SQL functions), dbt (data build tool), Tableau, Python/Pyspark.
• Experience in data architecture and data modeling, including creating Semantic Layer Data Models.
• Preferred expertise in Sports industry.
• Experience in Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP is desirable.
• Prior experience in management consulting and/or analytics based consulting is desirable.