Blackhawk Network

Senior Support Engineer - Data Ops

Position Type
Location : Location

About Achievers:

At Blackhawk Network, we shape the future of global branded payments through the prepaid products, technologies, and networks that connect brands and people. Our collaborative innovation and scalable, security-minded solutions help our partners to increase reach, loyalty, and revenue. We believe our future holds great things for Blackhawk Network and its partners. We believe that together, we can shape the future. Our beliefs? Win as one team, be innovative, global excellence and be inspiring!

So, what are you waiting for? Shape your career and join our global network.


What’s in it for you?


You will build large scale data lake that collect, processes and transforms the data into valuable business insights. You will tame all facets of big data at a Global scale and turn the wild west of data into robust and accurate business insights. The data platform that you build will enable the culture of data driven decision making across the entire company and will work at the forefront of cutting-edge technologies of data processing, visualization, and business intelligence.



  1. Address queries for existing reports
  2. Ad-hoc data requests for product & business stakeholders:
    1. Transactions per day, per entity (merchant, card-type, card-category)
    2. Custom extracts
  3. Production Support
    1. Job failures resolution - re-runs based on SOPs
    2. Report failures resolution
      1. Resolution of the issue
      2. Root-cause Analysis & handover to Dev team
  4. Ability to track & report the health of the system:\
    1. Create matrix for issue volume
    2. Coordinate and setup an escalation workflow
    3. Provide status-reports on regular basis for stakeholders review



  • 5-10 years of experience in BI, Reporting & Data Warehousing domain

  • Experience in production support for Data queries - monitoring, analysis & triage of issues
  • Expertise in doing RCA (root-cause analysis) and collaborating with development teams for CoE (correction of errors).
  • Experience in using BI tools like MicroStrategy, Qlik, Power BI, Business Objects
  • Expertise in data-analysis & writing SQL queries to provide insights into the production data. 
  • Good communication & collaboration skills - liaison with product, operations & business teams to understand the requirements and provide data extracts & reports on need basis.
  • Experience in working in an enterprise environment, with a good discipline & adherence to the SLA.
  • Good understanding of the ticketing tools, to track the various requests and manage the lifecycle for multiple requests e.g. JIRA, Service-Now, Rally, Change-Gear etc.
  • Orientation towards addressing the root-cause for any issue i.e. collaborate and follow-up with development teams to ensure permanent fix & prevention is given high priority.
  • Ability to create SOPs (system operating procedures) in Confluence/Wiki to ensure there is a good reference for the support team to utilise.
  • Experience with relational database (RDBMS) & data-mart technologies like DB2, RedShift, SQL Server, My SQL, Netezza etc.
  • Ability to monitor ETL jobs in AWS stack with tools like Tidal, Autosys etc.
  • Self-starter and a collaborator having the ability to independently acquire the knowledge required in succeeding the job.
  • Experience with Big data platforms like Amazon RedShift
  • Ability to mentor & lead Data Ops team-members for high quality of customer experience and resolution of issues on timely basis.
  • Adherence to process orientation.




Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed