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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines and platform capabilities for AI applications, with a strong focus on data governance, security, and production system reliability. Proficient in leveraging modern data platforms and tools to enhance AI workflows and ensure scalable production.
Highest-signal resume keywords
Data Engineering FundamentalsPython ProgrammingSQL ProficiencyExperience with SnowflakeHands-on Experience with LLMs
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PipelinesData ModelingData QualityOrchestrationSecure Data AccessEmbeddingsVector SearchTool/Function CallingAI AgentsGenerative AI
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
DatabricksDbtAirflowAWS BedrockMCPLangChainLangGraphVector DatabasesAPIsInternal Developer Platforms
Industry Keywords
AI ApplicationsData GovernanceSecurityPrivacyObservability
Tech Stack
Tools & technologiesAirflowAWSPythonSQL
About the role
Key responsibilities & impact- Design and build data pipelines and platform capabilities supporting AI applications, knowledge systems, and AI workflows
- Build and maintain ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge-management pipelines
- Develop secure, reusable access to enterprise data and systems through APIs, MCP, tool calling, and similar patterns
- Build reusable services, libraries, frameworks, and developer tooling for productionizing AI capabilities
- Apply data modeling, data quality, lineage, access, reliability, and governance practices to AI data and systems
- Establish patterns for AI deployment, observability, evaluation, and lifecycle management
- Partner with Engineering, Product, IT, and stakeholders to move AI use cases from prototype to scalable production
- Ensure AI platform capabilities meet security, privacy, access-control, and data-governance requirements
- Evaluate emerging AI and data technologies for potential value to Oyster
Requirements
What you’ll need- 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline
- Experience building and operating production systems
- Strong Python and SQL skills
- Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access
- Experience with Snowflake, Databricks, or comparable modern data platforms
- Experience with dbt, Airflow, or similar tools
- Hands-on experience building or supporting production systems using LLMs / generative AI
- Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems
- Experience building reusable data or platform capabilities across teams
- Experience taking systems from experimentation to reliable production, including scalability, observability, performance, and maintainability
- Understanding of security, authentication/authorization, privacy, and data governance
- Ability to work across Engineering, Product, and IT to solve ambiguous AI and data problems
- Reliable home internet connection, or ability to obtain one
- Fluent English language skills
- Must be based within UTC−6 to UTC+3
- Authorized to work where you live
- Bonus: Experience with AWS Bedrock or other managed foundation-model platforms
- Bonus: Experience with MCP or similar approaches
- Bonus: Experience with LLM evaluation, observability, monitoring, or AI quality
- Bonus: Experience with LangChain, LangGraph, vector databases, search technologies, AI security, governance, responsible AI, internal developer platforms, SDKs, APIs, reusable infrastructure, or data/AI/ML platform environments
Benefits
Comp & perks- 40 days off per year (including holidays and vacation), or more if required by your country
- Plumm mental well-being service
- Monthly wellbeing allowance in ThanksBen wallet
- At least three months’ paid parental leave for all new parents
- Job protection for up to 12 months or as required locally
- WFH stipend for laptop and home office equipment
- Fully remote work from home
- Flexible, asynchronous, collaborative work
- Inclusive, global work environment