Senior Data Engineer

SPARQ

United States

United States

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Über

divh2Team Sparq Job Opportunity/h2pTeam Sparq is committed to creating high-quality tech careers while helping clients accelerate their digital transformation journey. We are committed to being an inclusive workplace, maintaining a culture of equitable, diverse employment and advancement company-wide./ppWhy You Will Enjoy Mondays Again:/pulliOpportunity to collaborate with a diverse group of colleagues in a fun, creative environment/liliProgressive career journey and opportunity for advancement/liliContinuous development through training, mentorship and certification programs/liliExposure to modern technologies across various industries in an agile environment/liliFlexibility to work remotely, onsite or a hybrid of both as desired in certain locations/liliCompetitive salary + bonus opportunities/liliRobust benefits package, matching 401(k) plan, and substantial PTO/liliTuition reimbursement/li/ulpA Day in the Life:/ppWe are seeking a highly skilled Senior Data Engineer with expertise in either Snowflake or Matillion, as well as experience with 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, while also providing technical leadership and mentorship to junior members of the data engineering team./pulliDesign and implement scalable and high-performance data pipelines using Snowflake or Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics)./liliCollaborate with cross-functional teams to gather requirements, define project scope, and develop data models./liliProvide technical leadership and mentorship to junior data engineers, guiding them in best practices and coding standards./liliConduct code reviews to ensure quality, performance, and adherence to best practices./liliServe as a subject matter expert in Snowflake or Matillion, DBT, and the Microsoft Data Stack, staying abreast of industry trends and advancements./liliTroubleshoot and optimize existing data pipelines and processes to improve performance and reliability./liliCreate and maintain technical documentation, including architecture diagrams, design documents, and implementation guides./li/ulpWhat It Takes:/pulli5+ years of experience in data engineering, with a focus on cloud-based data platforms./liliExtensive hands-on experience with either Snowflake or Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics)./liliProficiency in SQL and Python for data manipulation and transformation./liliExperience with other cloud platforms such as AWS, GCP, or Azure is a plus./liliStrong problem-solving skills and the ability to troubleshoot and optimize data pipelines and processes./liliExcellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders./liliPrior experience in a leadership or mentorship role is highly desirable./liliDemonstrated ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively./li/ulpEqual Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic./pp#LI-REMOTE/p/div

United States

Sprachkenntnisse

English

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