Data Engineer (Data Ops Support)

Company Description:

Infostretch is a digital-first professional services firm. By combining in-depth experience with ready-made tools, frameworks, technologies, and partnerships, Infostretch helps enterprises get digital right, the first time. With an experienced team of digital technologists, Infostretch offers Digital Strategy, Digital Development, DevOps, Quality Engineering, Cloud, IoT, Data Analytics and Mobility services. The company is trusted by leading Fortune 100 companies as well as emerging innovators to deliver solutions that work seamlessly across channels, leverage predictive analytics to optimize the software lifecycle, and support continuous innovation.

Infostretch is seeking a Senior Data Engineer (Data Ops Support). This position is based in San Francisco, CA.


  • First level contact for incidents/issue reporting
  • Customer Interaction with via Email. Each support person to have pager and cell phone.
  • Gather the details about the issue faced i.e. problem description and logging an incident/ticket for the same in the Incident management system.
  • Send Acknowledgement of incident to client based on the Priority and Severity of the ticket. Response time will depend on the SLAs defined.
  • Analyze the issue/incident and try to find the root cause or gather logs and attach it with ticket. If not resolved then send the ticket to L2 support team. Update status to customer.
  • Monitor DAGs in production daily at regular interval. In case of failures, analyze them and either re-run DAG or log a ticket for L2 support with
  • Interaction with L2 and L3 team to get status of each incidents on daily basis with ETA for resolution. Accordingly customer can be updated on status.   
  • Support Lead to provide Daily Status Report of
  • Incidents either through Report Dashboard in place by Crux (maybe PagerDuty) or via email.

Technical and Soft skills required are:

  • Understanding of Incident management process
  • Good verbal and written communication
  • Data analysis skills
  • Understanding of pipeline code/configurations
  • Understanding of Airflow and Google Cloud Platform
  • Kubernetes knowledge will be plus.
  • Python and Python API knowledge (Beginner level) is plus
  • ETL Knowledge is plus

Education Qualification:

  • B.S. in computer science, software engineering, computer engineering, electrical engineering, or related area of study

If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Apply Online Print

Job Code: IS-SCF2019111201

Category: Engineering

Job Type: Full-Time

Location: San Francisco, CA, USA

Open Positions: 1

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