Senior Data Engineer

Job Description

Senior Lead Data Engineer

Artificial Intelligence and generative AI are taking the world by storm. More and more value is being delivered from data, both internally in companies as well as externally to their customers. KONE is in the forefront of this development in our quest to deliver more value to our customers with our digital services offering. KONE 24/7 Connected Services was launched already 2017 and today we have hundreds of thousands of elevators and escalators connected to it. Our common goal at KONE is to keep the end users safe and people flow uninterrupted. KONE moves 2 billion people every day and that means our services can really make cities better places to live. Our strategy is to drive a more sustainable world which we believe can be obtained partly by advanced analytics.

KONE R&D Data & Analytics SW is now looking for a dynamic Senior Lead Data Engineer to become a valued member of our community of 50+ dedicated Data Scientists and Data Engineers. The open position is within a team whose mission is to make sure that our 24/7 Connected Services customers receive the highest quality maintenance service available.

In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where KONE operates. Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.

All decisions and recommendations should be backed by data. While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us by Kone IT. It's worth noting that our team is already responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.

We're looking for a senior person who is passionate about writing efficient and maintainable code and enjoys mentoring our talented junior team members. We value desire for continuous learning and appetite for running production workloads. An ideal candidate has a strong background in either SW engineering, or data engineering, but above all will to commit to a devops mindset and reach goals together. Sharing knowledge and supporting others come naturally for you. We have a great community of curious, friendly, and driven individuals, where everyone is treated respectfully. Knowledge sharing and team play are important for us. If such an environment resonates with you please apply for this position so we can learn more about you.

The position is located in Pune. While remote work is allowed, we expect to be present in the office at least three days a week.

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In order to be considered for this role, you must have:

-PhD/MSc or equivalent knowledge in computer science, data science or related quantitative fields

- Hands-on experience developing, deploying and managing analytical solutions at scale

-Strong communication and mentoring skills with the ability to work effectively in a team

-Our working environment is multicultural so English is a must 

To stand out you could have:

- Experience with cloud platforms and CI/CD pipeline tools (Terraform, Robot framework, Gitlab CI)

-Experience with Spark, Kafka, streaming analytics solutions in general, and other related solutions

- Strong knowledge of SQL and data platforms/datalakes like Databricks

- Proficiency in Python, ELT development, and data pipeline development.

- DevOps mindset and experience of running production workloads

- Familiarity with infrastructure-as-code and pipeline-as-code paradigms

- Preferred Qualifications: Experience with data visualization tools such as QuickSight, Power BI, or Qlik Sense.

Join us in this exciting journey, where your skills and innovation will play a pivotal role in shaping the future of maintenance services and data-driven excellence at KONE.