Data Engineer - Product Implementation
@ OneMarketData

Hybrid
$80,000
Hybrid
Full Time
Posted 10 hours ago

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Job Details

Overview

OneMarketData is seeking a Data Engineer to join our Implementation Team. In this role, you will support clients through product implementations, ensuring seamless deployment and operation of our solutions in AWS-hosted environments and customer systems.

Responsibilities

  • Assist customers with daily operations, troubleshooting, and resolving issues.
  • Customize products by writing client-specific code.
  • Guide clients through product installation and configuration.
  • Maintain setups and collaborate to resolve code issues.
  • Serve as primary contact for technical issues and client communications.
  • Manage SLAs and prioritize tasks and issues.
  • Automate daily routines to improve efficiency.

Requirements

  • Strong analytical and problem-solving abilities.
  • Proficiency in Python (Python 3, Pytest, JupyterHub, PyCharm).
  • Understanding of complex product code and client integrations.
  • Excellent communication skills and client support experience.
  • Linux proficiency and detail-oriented approach.
  • Willingness to learn proprietary technologies (OneTick).

Tech Stack

  • OneTick: Proprietary time series database & streaming analytics engine
  • Containerization & Orchestration: Kubernetes, Docker, Airflow
  • Monitoring & Analytics: Sentry, Grafana, Prometheus
  • CI/CD: GitLab CI/CD
  • Collaboration: Jira, Confluence

What We Offer

  • Full-time permanent employment with remote work flexibility.
  • Collaborative work environment with supportive culture.
  • Challenging projects for prestigious financial entities.
  • Competitive compensation based on experience and local norms.

Key skills/competency

  • Data Engineering
  • Python
  • AWS
  • Client Support
  • Product Implementation
  • Linux
  • Troubleshooting
  • Automation
  • Kubernetes
  • Docker

How to Get Hired at OneMarketData

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python and implementation projects.
  • Tailor your cover letter: Emphasize client support experience.
  • Research OneMarketData: Understand their tech stack and culture.
  • Prepare for technical interviews: Review AWS, Kubernetes, and Docker concepts.

📝 Interview Preparation Advice

Technical Preparation

Review Python best practices.
Study AWS deployment architecture.
Practice containerization with Docker and Kubernetes.
Familiarize with CI/CD pipelines and tools.

Behavioral Questions

Explain a time you solved client issues.
Describe handling project deadlines collaboratively.
Share an experience managing SLAs effectively.
Discuss adapting code for specific client needs.

Frequently Asked Questions