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senior data engineer

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Data Software Engineering, Apache Spark, Scala, Databricks, SQL, Microsoft Azure
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Sorry the job is no longer available.

We are looking for an experienced Senior Data Engineer to join our team. You will be responsible for designing and building scalable data pipelines to process and analyze large volumes of data using Scala, Azure Databricks, and Apache Spark.

responsibilities
  • Work with stakeholders including the Product, Data and Engineering teams to assist with data-related technical issues and support their data infrastructure needs
  • Adhere to and ensure engineering best practices using modern SDLC that enables CI/CD and favors automation, auditability, automated testing, infrastructure, and policy as code
  • Ability to collaborate effectively with other architects and engineers delivering end to end, high-performing, highly reliable, scalable, and operable solutions
  • Create and maintain optimal data pipeline architecture to assemble large, complex data sets that meet functional / non-functional business requirements
requirements
  • 3+ years of experience delivering data engineering applications and services
  • 3+ years strong hands on experience on Spark , Scala
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Experience working with modern data pipeline orchestration tools, Airflow preferred, to create complex ETL pipeline jobs
  • Good in Agile development methodology, Scrum in particular
  • Experience with Databricks
  • Working knowledge of Azure

These jobs are for you

benefits for locations

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For you
  • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
  • Individual sessions with professional psychologists and coaches
  • Free corporate sports and wellness programs
  • Stable income
  • Paid time off
For your comfortable work
  • 100% remote work forever
  • 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
    • Access to LinkedIn Learning platform
    • Language courses
    • Access to internal and external e-Libraries
    • Certification opportunities
    • Skill advisory service
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