Data Engineer

5 days ago

Oslo, Oslo County, Norway Kogenta Full time
About Kogenta

Kogenta is a pioneering company in the data industry, dedicated to creating innovative tools and solutions for the rapidly growing data landscape. Our mission is to advance the industry by leveraging recent advances in cloud technology, machine learning, and data sources.

Job Overview

We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a crucial role in developing and maintaining our ETL Platform, which is designed to process and contextualize large volumes of location-specific data.

Key Responsibilities
  1. Develop Innovative Tools: Design and implement cutting-edge tools for our ETL Platform, capable of processing and contextualizing large volumes of location-specific data.
  2. Improve Existing Processes: Analyze and optimize existing processes to improve efficiency and effectiveness.
  3. Identify and Implement Machine Learning Workflows: Identify areas where machine learning workflows can optimize product capabilities and implement them accordingly.
  4. Craft Efficient SQL Queries: Develop efficient and adaptable SQL queries integrated into data pipelines to address emerging challenges.
Requirements
  1. Bachelor's Degree or Higher: In Data Science or a related field.
  2. Minimum 2 Years of Experience: In Data Science, ideally involving machine learning in production.
  3. Proficiency in Programming Languages: Demonstrable proficiency in Python and/or Scala, in addition to SQL for data processing.
  4. Experience with Notebook Approach: Experience with the notebook approach of platforms like Databricks.
  5. Hands-on Experience with Machine Learning: Hands-on experience with machine learning in deployed products.
  6. Exceptional Communication Skills: Exceptional communication skills and fluency in English.
  7. Adaptable and Curious: A positive influencer who is adaptable, curious, and enthusiastic about collaboration.
  8. Passion for Data: A passion for tackling challenges and deriving insights from data.
Preferred Qualifications
  1. Comfort with Java and Python: Comfort with Java and Python programming languages.
  2. Familiarity with Google Cloud Platform: Familiarity with Google Cloud Platform (GCP).
  3. Foundational Data Engineering Skills: Foundational Data Engineering skills.
  4. Experience with Geospatial Data: Experience with geospatial data.
Deliveries You Will Work On

Kogenta has developed a unique technology that enables real-time understanding of transportation vehicle types. This technology is being piloted in Sweden with Nobina, and we are exploring other pilots to be conducted in 2023 and 2024. Your contribution will be to further develop and implement new ways of using machine learning and data processing to our SDK and backend.

Data Flow and Integrations

As a Data Engineer specializing in Data Flow and Integrations at Kogenta, you will be at the forefront of our mission to continually enhance and expand our platform's features and integrations. We are dedicated to optimizing our data processing and integration pipelines for efficiency and resilience.

Your role as a Data Engineer is pivotal in achieving this objective. You will spearhead the development and maintenance of data pipelines, ensuring the seamless flow of high-quality data. Your contributions will be instrumental in enabling us to deliver exceptional products and services to our valued customers.

SDK

If you have an interest in or experience with SDK and app development, you will be incentivized to help our SDK developers with their work on our Kettle SDK with its unique features and data creation.

We are delivering many different products within the space of mobility and advertisement. Our products are in constant development, and your contribution to this development is essential for our future success. Especially how you suggest how data should be understood and how we can monetize these data as products and services will be an important contribution to the team who works on business development.

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