Senior Data Engineer

• 8-12 years of experience in data engineering, data architecture, or analytics engineering
• Strong experience with Databricks ecosystem (Spark, SQL, PySpark, workflows)
• Expertise in:
• Data Warehousing & Modeling (OLTP/OLAP, dimensional modeling, medallion architecture)
• ETL/ELT pipeline development and orchestration (Airflow or similar tools)
• Advanced proficiency in SQL and Python (Scala/Java/R is a plus)
• Experience designing and delivering enterprise-grade data architectures
• Strong understanding of performance tuning, query optimization, and large-scale data processing
• Proven ability to translate business needs into scalable technical solutions
• Experience leading teams and working in client-facing environments
• Excellent communication, problem-solving, and stakeholder management skills

Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client's business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence ("AI") and machine learning ("ML"), we create agile, scalable solutions and execute complex operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquarters in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents.