sparq
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
Senior Data Engineer
March 19
sparq
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
📋 Description
• Senior Data Engineer with expertise in Snowflake, Matillion, DBT, and Microsoft Data Stack. • Responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes. • Provide technical leadership and mentorship to junior members of the data engineering team. • Design and implement scalable and high-performance data pipelines using modern technologies. • Collaborate with cross-functional teams to gather requirements and develop data models. • Troubleshoot and optimize existing data pipelines and processes to improve performance.
🎯 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 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, able to collaborate with 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
• Competitive salary + bonus opportunities • Robust benefits package • Matching 401(k) plan • Substantial PTO • Tuition reimbursement
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