Architect leading initiatives in data platform engineering at F5, solving challenges in unstructured data and enhancing governance frameworks.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Architect designing and implementing data architectures supporting analytics and ML for federal clients. Collaborating with teams to translate mission needs into robust data solutions.
IT Data Engineer developing data pipelines and integrations for Scanfil Group's global IT organization. Collaborating across teams to enhance data solutions and reporting capabilities.
Data Engineer developing Azure data solutions at PwC New Zealand. Responsibilities include data quality monitoring, pipeline development, and collaboration with stakeholders in a supportive environment.
Senior Data Engineer designing and implementing the Enterprise Data Platform at Stellix. Focusing on analytics and insights with a growth path to Principal Data Engineer or Data Architect.
R&D Data Engineer at DXC, transforming complex data into digital assets for global analytics and Smart Lab solutions. Collaborating on ELN and LIMS tools for enhanced data management.
Data Engineer role focusing on data pipelines and processing at 42dot, a mobility AI company. Responsibilities include data collection, schema management, and pipeline monitoring.
Senior Data Engineer at mobility AI company designing large - scale data processing pipelines. Leading technical decisions and mentoring junior engineers in data architecture.
Senior Data Engineer at Booz Allen building advanced tech solutions for mission - driven projects. Utilizing data engineering activities, pipelines, and platforms for impactful data insights.
Senior Software Engineer contributing to Workday's AI/MLOps cloud ops platform. Involves data ingestion, computation, and generation of curated data sets with modern technologies.