We're helping one of our clients, Web Shop Manager, hire for a Data Engineer focused on Search, ML/AI."Empowering eCommerce success globally with advanced product data expertise and superior customer experience!."Compensation: To be agreed upon.Location: Remote (for México, Argentina, Brazil and Colombia residents).Skills: Assertive communication, Elasticsearch, Generative AI (Generative artificial intelligence), English - Native or fully fluent. Responsibilities and more:- 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, multidimensional 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.- Optimize applications for maximum speed and scalability.- 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.Required skills and qualifications:- At least four years of experience in building large-scale software applications.- 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 skills and qualifications.- Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.- Interest in learning new tools, languages, workflows, and philosophies.Professional certification.If you are a talented Data Engineer passionate about creating innovative solutions and thriving in a fast-paced startup environment, we would love to hear from you.Please submit your resume, cover letter, and portfolio or GitHub showcasing your previous work.Note: This job description is for reference purposes only and is not an exhaustive list of responsibilities and qualifications.
