Big Data Platform Production Environment Manager

1 day ago

St Louis MO USA, United States Global IT Investors Inc Full time
Job Title: Big Data Platform Production Environment Manager

We are seeking a highly skilled Big Data Platform Production Environment Manager to join our team at Global IT Investors Inc. As a key member of our data engineering team, you will be responsible for planning, managing, and overseeing all aspects of a Production Environment for Big Data Platforms.

Key Responsibilities:
  • Plan, manage, and oversee all aspects of a Production Environment for Big Data Platforms.
  • Define strategies for Application Performance Monitoring, Optimization in Prod environment.
  • Respond to Incidents and improvise platform based on feedback and measure the reduction of incidents over time.
  • Ensure that batch production scheduling and process are accurate and timely.
  • Perform ad hoc requests from users such as data research, file manipulation/transfer, research of process issues, etc.
  • Take a holistic approach to problem solving, by connecting the dots during a production event through the various technology stack that makes up the platform, to optimize mean time to recover.
  • Engage in and improve the whole lifecycle of services from inception and design, through deployment, operation and refinement.
  • Analyze ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns.
  • Support services before they go live through activities such as system design consulting, capacity planning and launch reviews.
  • Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices.
  • Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
  • Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.
Requirements:
  • Experience in the Big Data technologies (Hadoop, Spark, Nifi, Impala)
  • Experience with performing data analysis, data observability, data ingestion and data integration.
  • 5+ years of relevant data engineering, data infrastructure, DataOps, DevOps, SRE, or general systems engineering experience.
  • 5+ years of Experience in running Big Data production systems.
  • 1+ years of Hands-on experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory, and Chef.
  • Experience architecting and implementing data governance processes and tooling (such as data catalogs, lineage tools, role-based access control)
  • Solid grasp of SQL fundamentals
  • Experience with algorithms, data structures, scripting, pipeline management, and software design.
  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
  • Ability to help debug and optimize code and automate routine tasks.
  • Ability to support many different stakeholders. Experience in dealing with difficult situations and making decisions with a sense of urgency is needed.
  • Appetite for change and pushing the boundaries of what can be done with automation.
  • Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must.
  • Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort is desired.
  • Good Handle on Change Management and Release Management aspects of Software.

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