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Data Ops Engineer

Expired Job

Infostretch San Francisco , CA 94118

Posted 4 months ago

Job Description:

As a senior member of the DataOps team, your primary goals are to respond to production issues affecting data pipelines. You will need to work directly with Suppliers and Consumers as well as the internal Engineering teams to triage and remediate issue and restore service. You should have a solid understanding of how to access and extract data through various means, have worked on cloud hosted platforms such as GCP or AWS and have the soft skills to work with technical teams at different levels.

Responsibilities

  • Provide Level 2 production support for data pipelines, working with the platform team as well as data suppliers and consumers to understand use cases respond to any issue raised

  • Working in shifts you will be responsible for live monitoring of production systems and incident management of reported issues during business hours and a rotating on call coverage

  • Continual Service Improvement (CSI) for the support processes through performance reporting and metrics that can help forecast and proactively address issues

Qualifications:

Must Have

  • 10+ years of experience in a support or operations role, preferable in a technology or financial services company supporting production environments with enterprise users

  • ITSM literate with strong documentation instincts

  • Experience working in a cloud-based environment, such as GCP or the AWS

  • Working knowledge of OO Python, RDBMS

  • Experience working as part of a cross function matrixed support team

  • Strong problem solving and troubleshooting skills

  • Ability to exercise judgment to make sound decisions

  • Strong communications skills, interpersonal skills, and a sense of humor

Even Better

  • Data skills: RDBMS SQL and NOSQL, structured and unstructured data, BigQuery

  • Experience in Airflow, GitHub and working with ETL tools

  • Big data and cloud processing experience, e.g. HDFS, Spark

  • Experience working with Market Data

Person should be

  • Naturally helpful and enjoy supporting business users and resolving technical issues

  • Bring experience of cloud application architecture and data life cycle

  • Enjoy analyzing networks, system services, operating systems and backend production systems, specifically in Python, and skilled at quickly identifying issues and remediating them

  • Love working on high-performing teams, collaborating with team members, and improving ability to deliver delightful experiences to clients

  • Excited by the opportunity to solve challenging technical problems, and find learning about data fascinating

  • Understand Server, Network, and Hosting Environments, RESTful and other common APIs, common data distribution, and hosted storage solutions

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Data Ops Engineer

Expired Job

Infostretch