Role OverviewLead 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.
What You Will Do
Develop and maintain data pipelines, ensure data quality, integrity, and security. Optimize data storage and retrieval processes to support data warehousing and analytics.
Why It Might Be a Fit
Must have 6-8 years of relevant experience in Data Engineering and delivery. Strong experience with SQL, python and PySpark. Good understanding of Data ingestion and data processing frameworks.
Requirements
- Bachelor's or Master's degree in Computer Science, 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
- Strong problem-solving skills and attention to detail
- Ability to work independently and as part of a team in a fast-paced environment
- Experience with data modeling and ETL processes
- Familiarity with data governance and data security practices
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