More Staffing LLC

Data Engineer – E-commerce

9 April 2024
Full Time
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Deadline date:
£89000 - £150000 / year

Job Description

JOB OVERVIEW:

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.

Key Responsibilities:

  • 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.

Requirements

  • 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:

  • Experience with data visualization tools and dashboard development.
  • Experience with vector databases
  • Knowledge of machine learning and statistical modeling is a plus.

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