Job 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.

Qualifications:

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.

Nice to Have: