2 days ago
Base Salary
$110k - $140k/yr
Responsibilities
- Design and deliver scalable data solutions using cloud data platforms, data pipelines, ETL/ELT, and data modernization practices.
- Perform coding, debugging, performance tuning, and application deployment to production environments.
- Lead and oversee project delivery, ensuring timely completion and high-quality outcomes.
- Collaborate with clients and offshore leads to gather requirements and define high-level designs.
- Direct development and unit testing activities while maintaining alignment with project goals.
- Communicate project and task status to stakeholders and manage risks and issues.
- Provide technical guidance on design, implementation, delivery strategies, and technology adoption.
- Lead team members and work with management to ensure effective execution.
Requirements
- At least 7 years of relevant experience in data engineering and project delivery.
- Bachelor's degree in engineering or a related field.
- Strong expertise in big data concepts and cloud implementation projects.
- Proficiency with Snowflake, SQL, AWS services, Python, and PySpark.
- Strong communication, stakeholder management, problem-solving, analytical, and ownership skills.
- Preferred experience with Jenkins, Git, CI/CD pipelines, Spark, cloud migrations, and development projects.
- Preferred knowledge of US insurance and reinsurance, advanced big data concepts, and Data Vault 2.0.
Tech Stack
Categories
Data Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).