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.

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.

Qualifications

- 6-7+ years of experience in Data Engineering.
- Robust 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

📌 Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram