Senior Data Engineer - Snowflake, dbt

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April 23

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sparq

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B2B • Recruitment • IT

sparq is a Diversity-Forward contingency based recruitment and staffing firm focused on helping companies hire the right talent and build the right teams for IT roles, including Big Data. With over 15 years of industry experience, sparq leverages market insight and a vast network of elite IT talent to effectively solve IT hiring challenges, ensuring that companies not only find the right candidates quickly but also align them with the company culture rather than just job titles.

2 - 10 employees

🤝 B2B

🎯 Recruiter

📋 Description

• We are seeking a Senior Data Engineer with expertise in Snowflake and dbt, with a strong focus on scalability and optimization. • Design and build scalable data pipelines in Snowflake and dbt, ensuring they can handle billions of rows of data efficiently. • Optimize Snowflake storage, compute performance, and query execution to improve processing speed and cost efficiency. • Lead efforts in migrating and refining legacy data processes in Snowflake using dbt, ensuring optimized transformations and modeling. • Collaborate with business and data teams to understand requirements and translate them into high-performance data solutions. • Implement best practices for Snowflake optimization, including clustering, partitioning, indexing, materialized views, and workload management. • Troubleshoot and resolve bottlenecks in existing Snowflake-based ETL/ELT workflows. • Provide technical leadership and mentorship, ensuring the team follows best practices for scalable data engineering. • Create and maintain technical documentation, including architecture diagrams and optimization guidelines.

🎯 Requirements

• 3+ years of experience in data engineering, with a focus on cloud-based enterprise-scale data solutions • Proven experience working with massive datasets (billions of rows) in Snowflake • Hands-on expertise in Snowflake performance tuning, storage optimization, and cost management • Deep experience with dbt for data transformation, testing, and workflow orchestration • Strong proficiency in SQL and Python for data manipulation, automation, and optimization • Ability to identify, diagnose, and optimize inefficient queries and processing workflows • Experience working both with and without an architect to optimize Snowflake performance • Strong understanding of data governance, security best practices, and role-based access control in Snowflake • Excellent problem-solving and communication skills, with the ability to collaborate across teams

🏖️ Benefits

• Fully remote work flexibility • Opportunities for career growth and skill development through mentorship and certification programs