Data Engineer

October 1

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More Staffing LLC

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recruitment • Human Resources • outsourcing • staffing • remote work

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Description

• We are seeking a highly skilled and experienced Data Engineer to join our team. • The successful candidate will be responsible for building, maintaining, and optimizing our ETL pipelines. • You will play a key role in ensuring our data architecture supports our rapid growth and enables us to extract meaningful insights from complex data sets.

Requirements

• Design, build, and maintain scalable and reliable ETL pipelines to support data integration from various sources. • Develop and manage databases using BigQuery, MySQL & Pinecone, ensuring data integrity, security, and performance. • Collaborate with cross-functional teams, to gather requirements and deliver data solutions that support business initiatives. • Implement data warehousing solutions and data modeling practices to support advanced analytical and reporting capabilities. • Optimize data flow and collection to improve data accuracy and value. • Ensure compliance with data governance and data security requirements. • Monitor and troubleshoot performance issues on the data pipelines and databases. • Stay up-to-date with industry standards and advancements in data engineering practices and technologies. • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Minimum of 3 years of experience in a Data Engineering role. • Proficient in SQL and experience with database management systems, particularly BigQuery and MySQL. • Demonstrable experience with Shopify’s REST & GraphQL APIs. • Experience with data pipeline and workflow management tools. • Strong understanding of ETL techniques and best practices. • Proficient in one or more programming languages (Python preferred) • Experience with cloud services (e.g., AWS, Google Cloud Platform) and understanding of cloud-based ETL services. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration abilities to work with team members and stakeholders. • Experience with data visualization tools and dashboard development. • Experience with vector databases • Knowledge of machine learning and statistical modeling is a plus.