Data Analytics Pipeline Manager

1 day ago


Espoo, Uusimaa, Finland KONE Full time

KONE Technology and Innovation is a leader in the field of people movement. We combine the physical world with smart digital systems, creating innovative solutions for people movement.

Our DevOps team is responsible for developing cutting-edge analytics solutions that utilize machine learning, statistics, and streaming analytics. These solutions analyze IoT data from millions of elevators and escalators, providing valuable insights for technicians and customers globally.

We are seeking a skilled Data Engineer Leader to join our team. In this role, you will be responsible for data modeling and building scalable data pipelines. You will also lead the development of APIs for serving analytics insights across various operational and analytical use cases.

The ideal candidate has a strong background in data engineering, including experience in data observability, test automation, and software engineering best practices. You should be able to collaborate effectively with others and communicate complex ideas clearly.

We prioritize a collaborative work environment and welcome individuals who share our values. If this opportunity aligns with your career goals, we encourage you to apply.

At KONE, our goal is to create a safer and more efficient people flow experience. We achieve this through the strategic use of advanced analytics and innovative technologies.

We utilize a modern cloud-based architecture, leveraging AWS and Databricks to drive innovation.

To be eligible for this role, you must:

  • Possess a degree in software engineering, data engineering, data science, computer science, physics, statistics, mathematics, or a related field
  • Have expertise in SQL and data modelling
  • Be proficient in programming languages Python and Scala
  • Have experience in managing production workloads
  • Speak English fluently
  • Familiarize yourself with our tech stack: DBT, AWS Glue, AWS EMR, AWS Athena, Spark, Databricks, Apache Flink, Apache Kafka, Terraform, and Gitlab CI

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