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data platform support engineer

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Data Software Engineering, Apache Spark, Databricks, SQL, CI/CD, Amazon Web Services

We are looking for a remote Data Platform Support Engineer to make the team even stronger.

As a Data Engineer in Data Platform, you will be supporting 1000+ stakeholders focusing on data transformation and pipeline orchestration technologies. By constantly challenging the status quo, you will ensure stakeholder teams to deliver high-performance data processing solutions that are efficient and remain reliable at scale.

responsibilities
  • Automation of support activities (e.g cluster creations, configuration changes)
  • Improving documentation to address user inquiries
  • Prioritizing customer queries and escalating serious technical issues to 2nd level
  • Operational Excellence:
  • Stakeholder support through chat and support tickets
  • Troubleshooting user issues related to Databricks (Spark) / Airflow and suggesting optimizations for long running or resource intensive jobs
  • Guiding users on best practices of Databricks and Airflow cluster management
  • Consult and help our diverse teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems
  • Having documentation focus to improve user journey
requirements
  • 3+ years of relevant experience
  • Basic understanding of distributed data processing frameworks like Apache Spark
  • Understanding of relational database management systems
  • Hands-on experience with Databricks
  • Hands-on experience with Apache Airflow/Amazon Managed Workflows for Apache Airflow
  • Hands-on experience with Python combined with SQL knowledge
  • Hands-on experience in cloud technologies (AWS services like S3, EC2, IAM, Cloudformation)
  • Hands-on experience in container/orchestration tools (Kubernetes, Docker, Podman)
  • Engineering craftsmanship with an experience in software development processes focusing on testing, continuous integration/continuous delivery (CI/CD), monitoring and writing documentation
  • Upper-intermediate or higher English level, both spoken and written (B2+)
nice to have
  • Knowledge on AWS Step Functions, Cloudwatch, Lambda

benefits for locations

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For you
  • Paid time off
  • Paid sick leave days
  • Stable income
  • Meal and home office compensation
For your comfortable work
  • 100% remote work 
  • Hybrid work opportunities
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
  • Language courses
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