Roles & Responsibilities:
- Provide day-to-day oversight and technical guidance to team of Data Engineers.
- Design and implement scalable data pipelines using Azure Data Factory
- Develop and optimize complex SQL queries for data extraction and transformation
- Architect, design and build components in Snowflake
- Create and refine relational data models to support business intelligence and analytics
- Collaborate with cross-functional teams to understand data requirements and deliver solutions
- Establish best practices for data engineering processes and documentation
- Ensure data quality, security, and compliance across all data engineering initiatives
- Stay current with emerging technologies and industry trends in data engineering
Experience & Skills Fitment:
- Bachelor's degree in Computer Science, Information Systems, or related field
- 8+ years of experience in data engineering roles
- Strong expertise in SQL, including complex query optimization
- Extensive experience with Snowflake, including architecture and performance tuning
- Proficiency in Azure Data Factory for building and managing ETL/ELT pipelines
- In-depth knowledge of relational data modeling techniques
- Proven experience leading and mentoring data engineering teams
- Ability to manage workload and self-drive to accomplish goals
- Excellent problem-solving and analytical skills
- Strong communication skills and ability to work with both technical and non-technical stakeholders
Good to have:
- Azure Developer Certification
- Master's degree in a relevant field
- Experience with Python
- Knowledge of data governance and compliance regulations
- Experience with version control systems (Git, Azure DevOps)
- Knowledge of Agile methodology
- Familiarity with data visualization tools (e.g., Tableau, Power BI)
- Experience with big data technologies (e.g., Hadoop, Spark)
Benefits:
- Kloud9 provides a robust compensation package and a forward-looking opportunity for growth in emerging fields.
Equal Opportunity Employer:
- Kloud9 is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
