Hybrid Staff Engineer, Data Platform

Posted last month

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About the role

  • Staff Engineer responsible for developing shared data tools to enhance data quality at Kpler. Collaborating with cross-functional teams on data engineering initiatives.

Responsibilities

  • Working closely with the tribe lead in order to set technical strategic goals at the tribe level.
  • Working alongside data engineers, data scientists and product managers, take responsibility for the development and implementation of our shared data tools.
  • Collaborate with the Cloud platform team and other staff engineers to ensure platform coherence.
  • Establish technical standards and best practices.
  • Mentorship, Coaching and leading: provide technical guidance, coaching, and mentorship to engineers, particularly Senior and mid-level engineers, to help them develop their skills and advance their careers and foster good data practices and high standards.
  • Foster a culture of technical excellence and continuous improvement.

Requirements

  • Have hands-on experience with Python and / or Scala or any other JVM language.
  • Solid SQL skills for querying and managing relational databases.
  • Knowledge of streaming and big data technologies (such as Kafka or Spark).
  • Comfortable working with Agile methodologies and Software Craftsmanship.
  • Worked on data platform and / or data mesh and have knowledge of data catalogs such as Open Metadata, Unity from Databricks or any others as well as data quality tools such as Montecarlo.
  • Are eager to learn new languages and technologies.

Benefits

  • Kpler is committed to providing a fair, inclusive and diverse work-environment.
  • Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements.

Job title

Staff Engineer, Data Platform

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

HybridFrance

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