Applied Systems is a company that reinvents insurance technology through cloud software and AI-powered solutions. They are seeking a Data Engineer to join their AI Engineering - Reporting and Analytics team, responsible for building and enhancing data solutions and AI initiatives for the insurance business.
Responsibilities:
- Code BigQuery procedures, functions, and other database objects by applying expert knowledge in BigQuery SQL and ANSI SQL
- Implement scalable and efficient data models within our data lake, with a focus on BigQuery
- Manage and optimize data storage, partitioning, and clustering strategies to ensure high performance and reliability of our data infrastructure
- Develop and implement features and enhancements in BigQuery, levering your expertise in SQL and cloud-based data warehousing technologies
- Collaborate with cross-functional teams to understand requirements and deliver solutions aligned with business objectives, security requirements, and guidelines for data governance
- Develop documentation for the team to support design discussions
- Ensure data integrity and quality by implementing robust data validation and error-handling mechanisms
- Identify and implement improvements across the full lifecycle of data management, from ingestion to ETL processes and final reporting layers, to increase productivity on the team
- Continuously build knowledge of industry trends and advancements in data engineering and big data technologies
Requirements:
- 3+ years of experience in modeling, building, and maintaining data solutions in cloud-based environments
- Proficiency in SQL and Python to manipulate, store, manage, or retrieve data assets
- Proven impact with BigQuery and cloud-based data warehousing solutions
- Experience managing and optimizing BigQuery and Google Cloud Platform data services
- Knowledge of Agile frameworks, ideally Scrum, and tools like Jira and Confluence
- Demonstrated analytical and problem-solving skills and detail orientation
- Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience