Senior Data Engineer
2 weeks ago
We are seeking a highly skilled Senior Data Engineer with expertise in Snowflake and DBT to join our growing data team at IntraEdge. The ideal candidate will have a strong background in data engineering, with at least 3 years of experience working with Snowflake and 2 years of hands-on experience with DBT.
Job DescriptionThe successful candidate will play a crucial role in building and maintaining data pipelines, optimizing the data architecture, and ensuring data quality across our systems.
Key Responsibilities:- Data Pipeline Development: Design, develop, and maintain efficient, reliable, and scalable ETL pipelines using DBT and Snowflake.
- Data Modeling: Work closely with data analysts and stakeholders to understand business requirements and design data models in Snowflake that support reporting and analytical needs.
- Data Warehousing: Design and optimize data storage and retrieval strategies within Snowflake, ensuring high-performance data processing.
- Automation: Automate routine data pipeline jobs, ensuring data flow is consistent, secure, and optimized.
- Data Integration: Integrate data from multiple sources (internal and external) into Snowflake, ensuring data quality and consistency.
- Performance Optimization: Monitor and optimize the performance of Snowflake queries, storage, and data models.
- Cross-Functional Collaboration: Work cross-functionally with data scientists, data analysts, and business teams to understand data needs and ensure data systems are aligned with business objectives.
- Data Quality & Monitoring: Implement data quality checks and maintain high standards of data accuracy, consistency, and reliability.
- Documentation: Maintain clear documentation of data pipeline architectures, workflows, and data models to ensure knowledge sharing and compliance.
- At least 3 years of hands-on experience with Snowflake as a data engineer, architect, or related role.
- At least 2 years of experience working with DBT (Data Build Tool), including building and maintaining data transformation workflows.
- Strong proficiency in SQL, including writing complex queries and optimizing performance.
- Experience working with data warehouse solutions, specifically Snowflake.
- Proficiency with DBT for transforming data, version control, and managing ETL workflows.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, especially in relation to Snowflake.
- Experience with CI/CD tools and practices for automating deployment and monitoring of data workflows.
- Knowledge of Data Modeling: Strong understanding of dimensional data modeling and best practices for building scalable, high-performance data models.
- A competitive salary ranging from $140,000 to $180,000 per annum, depending on experience.
- A comprehensive benefits package, including medical, dental, and vision insurance.
- A generous paid time off policy, including vacation days and holidays.
- A retirement savings plan, including matching contributions.
IntraEdge is a leading provider of data engineering services, helping organizations unlock the full potential of their data. We are passionate about delivering high-quality solutions that meet the evolving needs of our clients.
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