EXL—Data Engineer

Job description

Description: Data Engineer will be responsible for designing, developing, and optimizing scalable data pipelines and data platforms using Databricks, SQL, and modern cloud technologies. The role involves building robust ETL/ELT solutions, supporting analytics and BI reporting, collaborating with business stakeholders, and ensuring high-performance, reliable data solutions. The candidate should have strong technical expertise, leadership capabilities, and experience delivering end-to-end data engineering solutions. Requirements: - 6-7+ years of experience in Data Engineering. - Strong expertise in SQL and query performance optimization. - Hands-on experience with Databricks Data Engineering. - Strong understanding of ETL/ELT frameworks and pipeline development. - Knowledge of data warehousing and data modeling concepts. - Experience with Snowflake and cloud platforms (Azure/AWS) preferred. - Familiarity with Power BI and Tableau. - Strong analytical, problem-solving, and communication skills. - Insurance domain experience preferred but not mandatory. - Immediate joiners or candidates with up to 30 days notice period preferred Responsibilities: - Design, build, and maintain scalable data pipelines using Databricks and SQL. - Develop ETL/ELT processes for ingesting and transforming data from multiple sources. - Optimize SQL queries, stored procedures, and data transformations. - Implement data quality controls, monitoring, and performance tuning. - Create and maintain data models for reporting and analytics. - Support BI initiatives using Power BI and Tableau. - Work with Snowflake and cloud-based data platforms. - Follow GitHub, CI/CD, and deployment best practices. - Prepare technical documentation, data dictionaries, and solution designs. - Collaborate with stakeholders, analysts, architects, and business teams. - Mentor junior engineers and participate in code reviews. - Lead technical discussions and contribute to architectural decisions.