Data Engineer

Posted on February 20, 2025

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Job Description

  • *Data Engineer
  • *Job Responsibilities
  • * Execute and maintain data mesh and medallion data architecture optimized for
  • advanced analytics and AI, ensuring alignment with the Data and AI strategy
  • * Low-level solution design
  • * Provide development estimations
  • * Perform Unit and SIT testing
  • * Carry out data integration and provisioning of data products
  • * Ensure compliance of data sets with security and privacy guidelines
  • * Develop ingestion pipelines and data models according to Electrolux Engineering
  • Framework and Architectural standards
  • * Conduct quality assessments and apply data quality rules
  • * Responsible for technical Use Case documentation of products according to
  • Electrolux standards
  • * Participate in data engineering forums
  • * Contribute to development and enhancement of engineering frameworks, common
  • repositories, and optimal ways of working
  • * Provides recommendations for ingestion optimization and innovation
  • Requirements
  • Level 2
  • * Bachelor’s degree in Computer Science (or equivalent)
  • * 4+ years hands-on experience in SQL, Azure Data Lake, Data Factory, Databricks and Apache
  • Airflow, Data Modeling.
  • * Solid ingestion (APIs, Batch, streaming,...), ETL & data engineering skills with strong command of Python/Pyspark
  • * Solid understanding of data structures, data modelling concepts and database technologies
  • * Works as part of a team to solve & deliver data products of high complexity with ability to work
  • proactively and independently
  • * Experience with good software engineering practices: with working experience on modern tools such as Azure DevOps, Github, Jira, Jenkins and other build automation tools
  • * Ability to ensure excellent data quality and integrity through code reviews, testing and
  • monitoring without guidance
  • * Provides support to junior engineers
  • * Leads continuous improvement initiatives and takes proactive measures to optimize existing
  • pipelines and data products
  • * Self-motivated, fast learner, technology & vendor agnostic, pragmatic, strong problem solving and decision-making skills
  • * Excellent oral and written communication skills in English
  • Level 3
  • * Bachelor’s degree in Computer Science (or equivalent)
  • * 7+ years hands-on experience in SQL, Azure Data Lake, Data Factory, Databricks and Apache
  • Airflow, Data Modeling.
  • * Advanced ingestion (APIs, Batch, streaming,…), ETL & data engineering skills with expert
  • command of Python/Pyspark
  • * Advanced understanding of data structures, data modelling concepts and database technologies
  • * Experience in providing architectural recommendations, solving complex tasks, end-end solution design, and risk mitigation
  • * Ability to lead internal and/or external team members to deliver packages of work
  • * Perform code reviews
  • * Experience with good software engineering practices: with working experience on modern tools such as Azure DevOps, Github, Jira, Jenkins and other build automation tools
  • * Ability to mentor junior engineers with coding, tools, and DE best practices
  • * Provides strategies for continuous improvement and optimization of data products and/or processes
  • * Lead data engineering forums
  • * Self-motivated, fast learner, technology & vendor agnostic, pragmatic, strong problem solving and decision-making skills
  • * Excellent oral and written communication skills in English

Required Skills

azure devops github jira jenkins and other build automation tools databricks and apache