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- Concord, California, United States
- Concord, California, United States
À propos
Key Responsibilities & Deliverables
DataOps Architecture: Design and mature DataOps services and tooling to support cloud initiatives and internal development teams.
Pipeline Development: Develop and maintain data pipelines to feed data from various sources into Apache Kafka and load into Iceberg/Snowflake.
Containerization & Orchestration: Develop containers for use with ECS, Fargate, and EKS, leveraging deep expertise in Kubernetes.
Workflow Automation: Develop and manage scheduled jobs using Airflow and automate database deployments.
Infrastructure Consulting: Consult on infrastructure projects, ensuring systems fit the technical architecture and the specific needs of the end‑user community.
Cross‑Functional Collaboration: Collaborate with a cross‑functional team of engineers on technology improvements, evaluations, and project deliveries.
Required Skills & Experience
Core Expertise: Demonstrated expertise in Python, Go, or C#, as well as strong experience with SQL Server, Postgres, and Snowflake.
Cloud & Infrastructure: Deep expertise with AWS, Kubernetes, Linux, and Docker. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Data Systems: Strong experience with ETL/ELT techniques and Apache Kafka (experience with Flink is preferred).
Operational Proficiency: Familiarity with CI/CD techniques and tools and knowledge of microservices application stack architecture.
Soft Skills: Strong analytical, problem‑solving, and communication skills, with the ability to multi‑task and work across multiple projects simultaneously.
Compensation & Logistics Title: Platform Data Engineer
Job Type: Contract
Contract Length: TBD
Pay Range: $70–$100/hr
Start Date: ASAP
Location: MA
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Compétences linguistiques
- English
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