Senior Data Engineer
3 weeks ago
About the Role
The Crisis Prevention Institute is seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining our cloud-based data analytics platform.
Key Responsibilities
- Co-architect our next-gen cloud data analytics platform
- Increase operating efficiency and adapt to new requirements
- Monitor and maintain the health of solutions generated
- Support and enhance our data-ops practices
- Provide task breakdowns, identify dependencies, and provide effort estimates
- Model data warehouse entities in Erwin
- Build data transformation pipelines with Data Build Tools (DBT)
- Evaluate the latest technological trends and develop proof-of-concept prototypes that align with CPI opportunities
- Develop positive relationships with clients, stakeholders, and internal teams
- Understand business goals, drivers, context, and processes to suggest technology solutions that improve CPI
- Work collaboratively on creative solutions with engineers, product managers, and analysts in an agile-like environment
- Perform, design, and code reviews
- Perform other position-related duties as assigned
Requirements
- Bachelor's degree in computer engineering, computer science, data science, or related field
- Seven years or more of experience working with data modeling, architecture, and engineering
- Two years or more experience designing and implementing data warehouses in Snowflake
- Experience with all core software development activities, including requirements gathering, design, construction, and testing
- Experience performing data transformation using DBT
- Experience working with DQ products such as Monte Carlo, BigEye, or Great Expectations
- Experience with Azure DevOps (Repos, Pipelines, Boards, Wiki, Test Plans)
- Experience with formal software development methodologies including Software Development Life Cycle (SDLC), Agile, or SCRUM
- Experience building high-performance and highly reliable data pipelines
- Experience Knowledge of data warehouse design patterns (star schema, data vault)
- Experience building dashboards with business integration tools
- Knowledge of DataOps
- with cloud-based compute, storage, integration, and security patterns
- Knowledge and understanding of RESTful APIs
- Knowledge of current data engineering trends, best practices, and standards
- Knowledge of SQL and Python
- Ability to work in a collaborative environment
- Ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals
- Ability to work in an organization driven by continuous improvement or with an equivalent focus on process improvement
- Ability to manage multiple competing priorities and attain the best possible outcomes for the organization
- Excellent verbal and written communication and effective listening skills
Preferred Qualifications
- Experience in delivering an end-to-end data analytics platform using modern data stack components
- Experience working with artificial intelligence (AI) and machine learning (ML)
- SnowPro Advanced Certification
- DBT Analytical Engineer Certification
About Us
Crisis Prevention Institute is an Equal Opportunity Employer that does not discriminate against any applicant or employee on the basis of age, race, color, ethnicity, national origin, citizenship, religion, diversity of thoughts and beliefs, creed, sex, sexual orientation, gender, gender identity, or expression (including against any individual that is transitioning, has transitioned, or is perceived to be transitioning), marital status or civil partnership/union status, physical or mental disability, medical condition, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state, or local law.
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