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Leega

Senior Data Engineer – AWS

Leega

. Build and maintain pipelines for Bedrock Knowledge Bases and agents, including ingestion, cleansing, chunking, and vectorization .

Posted 10/22/2026contractSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates strong proficiency in Python and SQL, with hands-on experience in multi-account AWS environments and event-driven architecture. Capable of designing and maintaining data pipelines, ensuring compliance, and implementing observability and security measures.

Highest-signal resume keywords
Python ProficiencySQL ProficiencyAWS Multi-Account ExperienceTerraform DeploymentEvent-Driven Architecture Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentData Contract DefinitionMulti-Agent OrchestrationInfrastructure as CodeObservability ImplementationData GovernanceDistributed Systems KnowledgeProduction LLM Application ExperienceAWS IAM RolesAWS Lake Formation
Soft Skills
Clear CommunicationDecision-MakingAutonomy
Tools & Technologies
AWS S3AWS GlueAWS AthenaAWS KMSAWS EventBridgeAWS SQSAWS Step FunctionsOpenTelemetryCloudWatchMCP Servers
Certifications & Qualifications
AWS CertificationsFinOps Certifications
Industry Keywords
Data MeshFinancial ServicesRegulated EnvironmentsLGPD ComplianceGuardrails

Tech Stack

Tools & technologies
AWSPythonSQLTerraform

About the role

Key responsibilities & impact
  • Build and maintain pipelines for Bedrock Knowledge Bases and agents, including ingestion, cleansing, chunking, and vectorization
  • Centralize data into a single source of truth for BI and agent knowledge bases
  • Define data contracts, schemas, freshness requirements, and SLAs for sources consumed by agents
  • Support multi-agent orchestration with Strands Agents, Bedrock, and AgentCore
  • Expose internal data and systems as reusable tools through MCP servers and AgentCore Gateway
  • Design state management and shared memory across agents, ensuring isolation between contexts and clients
  • Support agent-to-agent communication through A2A, EventBridge, SQS, and Step Functions, with idempotency, timeouts, retries, and loop protection
  • Apply least-privilege access, dedicated identities, access scopes, and audit trails
  • Design cross-account access in AWS using IAM roles and Lake Formation
  • Deploy infrastructure as code with Terraform, including agents, tools, and guardrails
  • Apply tags, budgets, and cost metrics by department, project, model, and agent
  • Ensure governance, privacy, LGPD compliance, and regional data residency
  • Implement end-to-end observability with OpenTelemetry, AgentCore Observability, and CloudWatch
  • Support resilience and disaster recovery through queues, multi-region architectures, and controlled degradation

Requirements

What you’ll need
  • Strong proficiency in Python and SQL
  • Experience with S3, Glue, Athena, IAM, Lake Formation, and KMS
  • Experience with Terraform and CI/CD
  • Hands-on experience in multi-account AWS environments
  • Knowledge of event-driven architecture and distributed systems, including queues, retries, idempotency, and consistency
  • Experience building or operating at least one production LLM application, RAG system, or tool-enabled agent
  • Familiarity with AWS FinOps, including tagging, Cost Explorer, and budgets
  • Preferred: Amazon Bedrock, Knowledge Bases, Guardrails, multi-agent collaboration, AgentCore, Strands, LangGraph, CrewAI, MCP servers, the A2A protocol, S3 Vectors, OpenSearch, Milvus, GraphRAG, MLOps, LLMOps, Data Mesh, hub-and-spoke architecture, AWS or FinOps certifications, and experience in financial services and regulated environments
  • Clear communication with data scientists, business stakeholders, and external partners
  • Strong security mindset and rigor when handling sensitive data
  • Ability to make decisions with explicit trade-offs
  • Autonomy to document and define responsibilities across teams

Benefits

Comp & perks
  • Ongoing professional development
  • Hybrid work: 3 days in the office and 2 days working from home
  • Opportunity to work at a dynamic and collaborative company
  • Investment in employees through professional development and training