Data Engineer, Data Products

About this role

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Skills you'll use

What you'll do

• Master's degree in either software engineering, data engineering, computer science, or a related field
• Hands-on data engineering professional experience (> 3 years)
• Previous hands-on professional experience in developing and maintaining data pipelines on AWS, Azure and/or Databricks. Working proficiency the the tech stack: AWS, Gitlab, Databricks for ETL, Airflow, SCL, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC.
• Hands-on development experience on lake house architecture based on Databricks and Delta Lake, multi-hop medallion architecture to divide the data lake into bronze, silver and gold layers based on the quality and reusability of the data stored there, data product publishing in Unity catalog.
• Strong coding proficiency with multiple languages SQL and Python, additional language are bonus. Ability to write compelling code, technical documentation and visualize your technical design.
• Fluency in industry-standard DevOps practices and tools.
• Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT. Experience on enterprise data sources: Experience in woring with e.g. SAP ERP, Salesforce, Droduct data management (PDM), and many others.
• Way of working professional experience
• Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io).
• Inbuilt cybersecurity awareness. Understanding on data privacy and compliancy regulations.

Who can apply

• Master's degree in either software engineering, data engineering, computer science, or a related field
• Hands-on data engineering professional experience (> 3 years)
• Previous hands-on professional experience in developing and maintaining data pipelines on AWS, Azure and/or Databricks. Working proficiency the the tech stack: AWS, Gitlab, Databricks for ETL, Airflow, SCL, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC.
• Hands-on development experience on lake house architecture based on Databricks and Delta Lake, multi-hop medallion architecture to divide the data lake into bronze, silver and gold layers based on the quality and reusability of the data stored there, data product publishing in Unity catalog.
• Strong coding proficiency with multiple languages SQL and Python, additional language are bonus. Ability to write compelling code, technical documentation and visualize your technical design.
• Fluency in industry-standard DevOps practices and tools.
• Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT. Experience on enterprise data sources: Experience in woring with e.g. SAP ERP, Salesforce, Droduct data management (PDM), and many others.
• Way of working professional experience
• Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io).
• Inbuilt cybersecurity awareness. Understanding on data privacy and compliancy regulations.

About KONE

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