Senior Data Engineer

March 19

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sparq

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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.

Big Data • Data Engineers • Data Scientists • Data Architects • Data Analysts

2 - 10 employees

🤝 B2B

🎯 Recruitment

📋 Description

• We are seeking a highly skilled Senior Data Engineer with expertise in Snowflake, Matillion, DBT, and the Microsoft Data Stack to join our dynamic team. • The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes, as well as providing technical leadership and mentorship to junior members of the data engineering team. • Design and implement scalable and high-performance data pipelines using Snowflake, Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics). • Collaborate with cross-functional teams to gather requirements, define project scope, and develop data models. • Provide technical leadership and mentorship to junior data engineers, guiding them in best practices and coding standards. • Conduct code reviews to ensure quality, performance, and adherence to best practices. • Serve as a subject matter expert in Snowflake, Matillion, DBT, and the Microsoft Data Stack, staying abreast of industry trends and advancements. • Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability. • Create and maintain technical documentation, including architecture diagrams, design documents, and implementation guides.

🎯 Requirements

• 5+ years of experience in data engineering, with a focus on cloud-based data platforms. • Extensive hands-on experience with Snowflake, Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics). • Proficiency in SQL and Python for data manipulation and transformation. • Experience with other cloud platforms such as AWS, GCP, or Azure is a plus. • Strong problem-solving skills and the ability to troubleshoot and optimize data pipelines and processes. • Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders. • Prior experience in a leadership or mentorship role is highly desirable. • Demonstrated ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

🏖️ Benefits

• Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment • Progressive career journey and opportunity for advancement • Continuous development through training, mentorship and certification programs • Remote work