Data Engineering Lead designing and optimizing scalable data pipelines for a property insurance company. Collaborating across teams, mentoring engineers, and driving data architecture initiatives.
About the role
- Lead Data Engineer at EXL designing and implementing data solutions with AWS and Snowflake. Collaborate with teams for business needs and mentor junior engineers in a hybrid environment.
Responsibilities
- Lead the design, development, and implementation of data solutions using AWS and Snowflake.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and maintain data pipelines, ensuring data quality, integrity, and security.
- Optimize data storage and retrieval processes to support data warehousing and analytics.
- Provide technical leadership and mentorship to junior data engineers.
- Ensure compliance with industry standards and best practices in data engineering.
- Utilize knowledge of insurance, particularly claims and loss, to enhance data solutions.
Requirements
- Bachelor’s in Engineering, Information Technology, or a related field.
- Proven experience as a Data Engineer, with a focus on AWS and Snowflake.
- Strong understanding of data warehousing concepts and best practices.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience in the insurance industry, preferably with knowledge of claims and loss processes.
- Proficiency in SQL, Python, and other relevant programming languages.
- Experience with data modeling and ETL processes.
Benefits
- EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
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