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Data Engineer for Automotive E-Commerce Solutions

hace 2 meses

Mexicali, Baja California, México Web Shop Manager A tiempo completo
About Web Shop Manager & PartsLogic

We are a company dedicated to providing innovative solutions in the automotive parts industry. Our focus is on E-Commerce, Search & Discovery, Fitment, and vehicle data to create powerful e-commerce experiences with efficiency, accuracy, and customer satisfaction.

We rely on a dynamic team of engineers to solve the many challenges of our rapidly evolving industry and technical stack. We're seeking a data engineer who is ready to work with new technologies and architectures in a forward-thinking organization that's always pushing boundaries.

Job Responsibilities
  • Participate in all aspects of agile software development, including design, implementation, and deployment
  • Design, build, and maintain data transformations efficiently and reliably for different purposes (e.g., indexing, reporting, growth analysis, multi-dimensional analysis)
  • Design, implement, and maintain reliable, scalable, robust, and extensible big data systems that support core products and business
  • Design, develop, and support data pipelines and workflows that integrate various sources of structured and unstructured data across our customers' landscape
  • Assess and implement any customizations and custom data wrangling needed to transform customer datasets in a way that is best suited for processing by our ML models
  • Monitor data processing and machine learning workflows to ensure customer data is successfully processed by our ML models, debugging and resolving any issues faced along the way
  • Generate necessary data artifacts and analytics needed to assess the quality of results generated by different parts of the AI workflow to ensure they meet desired quality standards
  • Collaborate closely with the engineering team to assess model performance and improve results as needed
  • Collaborate closely with Product Engineering as needed to resolve any issues faced during customer deployment and onboarding
  • Collaborate closely with Customer Success Managers and Account managers to maintain close customer relationships and ensure customer satisfaction
  • Develop tooling and playbooks to streamline and automate key technical delivery activities to be repeatable and scalable
  • Develop and maintain RAG & Vector embeddings for AI and semantic search
  • Establish solid design and best engineering practice for engineers as well as non-technical people
  • Develop and maintain scalable and high-performing software solutions using the specified tech stack
  • Architect and provide guidance on building data pipelines and lakes
  • Collaborate with cross-functional teams to design and implement new features
  • Ensure code quality through functional testing
  • Troubleshoot and debug issues to ensure smooth functionality
  • Collaborate across time zones via Slack, GitHub comments, documents, and frequent videoconferences
  • Stay up to date with industry trends and best practices
Requirements
  • Experience in the automotive industry and automotive parts standards such as ACES and PIES
  • Experience in performing data analysis, data ingestion, and ETL (Extraction, Transformation & Loading)
  • Experience with Big Data technologies (Airflow, Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.)
  • Experience with Elasticsearch & Opensearch
  • Experience with Vector Databases (Qdrant, Opensearch, Milvus)
  • Experience with AWS Bedrock & Q
  • Excellent problem-solving and communication skills
  • Experience working in a small team startup environment
  • Experience working on or implementing e-commerce platforms or solutions
  • Experience with AWS and cloud computing services
  • Ability to write and maintain clear and concise technical documentation
  • Experience in search technologies such as full text lexical search and/or semantic vector-based search
  • Strong understanding of Git and experience with CI/CD pipelines
  • Experience building SaaS dashboards with graphs to display analytics and performance KPIs
  • Experience working with RESTful and GraphQL APIs
  • Knowledge of Python, R, Rust
  • Excellent ability to write efficient SQL queries
  • Excellent debugging and optimization skills
Preferred Requirements
  • Bachelor's degree in Computer Science

We are an equal opportunities employer and welcome applications from all qualified candidates.