Senior Snowflake Data Engineer
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Role details
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Job description
At Experient, we provide experience, technology, and transformation support to our clients, creating a dynamic work environment. We value collaboration, prioritize effective communication, and focus on delivering results quickly and practically. Whether you’re looking to deepen your expertise or take on new challenges, we’re here to support your journey every step of the way., We are seeking a Senior Snowflake Data Engineer to join our development team. This individual will be responsible for hands-on building, enhancing, and supporting multiple high-volume data pipelines used by our client to process business critical order transaction data., * Responsible for hands on database work and execution of the tactical work
- Involved in thought leadership
- Define future state architecture
- Set tech design principles
- Align the team on technical direction
- Pipeline Development: Design, implement, and maintain ELT/ETL pipelines using Snowflake, dbt, and orchestration tools
- Data Modeling: Create and optimize star/snowflake schemas, ensuring data integrity and scalability
- SQL & Performance Tuning: Write complex SQL queries, optimize queries for performance, and troubleshoot issues
- Integration: Connect Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (e.g., Alation, Power BI)
Requirements
Snowflake Schema, Communication Skills, Establish Priorities, Customer Support/Service, Technical Support, Data Management, Snowflake Schema, Thought Leadership, Technical/Engineering Design, Database Extract Transform and Load (ETL), * 8-10 years of experience in data engineering with Snowflake
- Extensive Snowflake experience
- Snowflake certifications required
- Must have hands on experience and execute the tactical work
- Experienced in thought leadership, defining future state architecture, setting tech design principles, aligning the team on technical direction.
- Familiarity with Snowflake Cortex (their AI tooling)
- Extensive DBT experience
- Python and Apache Airflow are preferred
- Advanced SQL and Snowflake SQL
- ETL with dbt and orchestration
- Cloud platform proficiency
- Knowledge of big data technologies (Hadoop, Spark, Kafka) and data visualization tools (Power BI, QlikSense, Superset)
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
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