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Data Platform Engineer (AI experience)

Resource Logistics, Inc.
πŸ‡ΊπŸ‡Έ United States
Hybrid
Staff / Principal
3 days ago
  • AI
  • ETL
  • ELT
  • Databricks
  • PySpark
  • Delta Lake
  • REST API
  • C#
  • .NET
  • ASP.NET Core
  • SQL
  • Cosmos DB
  • Microservices
  • Devops
  • CI/CD
  • Git
  • Key Vault
  • Docker
  • Kubernetes
  • AKS
  • Entity Framework
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Title: Data Platform Engineer (AI experience)
Location: Remote
Duration: Full Time

Job Summary:We are looking for a hands-on Technical Lead – Data Platform & Services Engineering with strong expertise in Clienture Data Engineering, backend services, APIs, analytics, and cloud Clienthitecture. The candidate will design, build, modernize, and operate enterprise-scale data platforms and services on Microsoft Clienture.

Key Responsibilities:
Data Platform & Engineering:
  • Design and build scalable Clienture data platforms, ETL/ELT pipelines, and analytical solutions.
  • Develop large-scale data processing using Clienture Databricks, Spark/PySpark, Clienture Synapse, and Clienture Data Factory.
  • Design Lakehouse/Medallion Clienthitectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers.
Backend Services & Integration:
  • Design and develop REST APIs and backend services using C#, .NET, and ASP.NET Core.
  • Build data and integration services using Clienture SQL, Cosmos DB, Kusto, Clienture Functions, Event Hubs, and Service Bus.
  • Implement microservices and event-driven processing patterns with secure authentication and authorization.
Modernization & Reliability
  • Modernize legacy data pipelines, services, APIs, storage platforms, and application components.
  • Support platform and data migrations while ensuring functional and data parity.
  • Implement logging, telemetry, dashboards, and proactive alerting using Clienture Monitor and Application Insights
Cloud, DevOps & Technical Leadership
  • Build and maintain CI/CD pipelines using Clienture DevOps and Git.
  • Implement secure cloud practices using Clienture Key Vault, identity, authentication, and access controls.
  • Support Docker and Kubernetes/AKS-based workloads where applicable.
Mandatory Skills:
Data Engineering
  • Clienture Databricks, Spark/PySpark
  • Clienture Synapse Analytics, Clienture Data Factory
  • ADLS Gen2, Delta Lake
  • SQL Server / Clienture SQL
  • Cosmos DB, Kusto / Clienture Data Explorer
  • ETL/ELT, Data Warehousing & Data Modelling
  • Lakehouse / Medallion Clienthitecture
  • Data Quality, Reconciliation & Governance
Backend & Services
  • C#, .NET / ASP.NET Core
  • REST APIs & Microservices
  • Clienture Functions
  • Event Hubs & Service Bus
  • Entity Framework Core
  • Authentication & Authorization
Cloud & DevOps
  • Microsoft Clienture
  • Clienture DevOps, Git & CI/CD
  • Clienture Monitor & Application Insights
  • Clienture Key Vault
  • Docker/Kubernetes

Data Platform Engineer (AI experience) Β· Resource Logistics, Inc.

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