Principal Data Engineer, Data Products

KONE; Maharashtra; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Innovative work culture

Opportunities for professional growth

Collaborative team environment

Job summary

KONE is seeking a Principal Data Engineer to join its IT team in Pune, India. This role focuses on developing scalable data products and optimizing data pipelines using cloud technologies.

The ideal candidate will have a Master's or PhD in a quantitative field, 18-20 years of hands-on data engineering experience, and strong proficiency in Python and AWS technologies. KONE fosters a culture of innovation and collaboration, valuing contributions of each team member.

Qualifications

• 18-20 years of hands-on experience in data engineering.
• Strong coding skills in Python, SQL, and Scala.
• Experience with Databricks and AWS technologies.

Responsibilities

• Design and develop data pipelines for industrial-grade products.
• Optimize data engineering practices for reusability and maintainability.
• Lead and mentor a team of Data Engineers.

Skills

Data Engineering

Cloud Technology

Python

SQL

Scala

Airflow

Databricks

AWS Technologies

Education

Master's or PhD in a quantitative field

Tools

AWS Glue

Terraform

Jira

Confluence

Job description

Overview

KONE is a global leader that provides elevators, escalators and automatic building doors, as well as solutions for maintenance and modernization that add value to buildings throughout their life cycle. Our mission is to improve the flow of urban life and make our world’s cities better places to live by providing innovative solutions that help make people’s journeys safe, convenient and reliable. Our operations in over 60 countries around the world have helped us achieve our position as an innovation and sustainability leader with recognitions by Forbes, Corporate Knights for clean capitalism and others.

KONE’s vision is to create the Best People Flow experience by providing ease, effectiveness and experience to our customers and users. In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainability across all of our operations. By closer collaboration with customers and partners, KONE will increase the speed of bringing new services and solutions to the market.

KONE Technology and Innovation Unit (KTI)

KONE Technology and Innovation Unit (KTI) is where we combine the physical world – escalators and elevators – with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies.

KONE IT

KONE IT is a global team of expert professionals working along with business functions and area teams to develop new capabilities and enable new business opportunities. We are trusted partners of KONE business lines and functions to develop, transform, manage and run their information technology solutions. We support KONE in its digital transformation journey by introducing cloud-based IT services, artificial intelligence (AI) and automation to support productivity, business growth and technological disruption. Sustainability, curious mindset and innovation are at the core of everything we do, and this makes us an integral part of KONE’s success.

IT professionals - KONE Corporation

Role and location

We are looking for a Principal Data Engineer, Data Products to join KONE IT Enterprise Data & Analytics team in Pune, India. The team drives forward Data Foundation, new ways of working with data using cloud technology. Data Foundation is a key enabler in our digital transformation, enabling the development of scalable analytics, AI and digital use cases by leveraging data across the organization. In our approach, data products play a vital role in business value generation. Driving optimized data engineering practices is crucial to ensure reusability and maintainability of data products.

Principal Data Engineer leads the design, development and industrialization of data pipelines to provide industrial-grade data products for data consumers. With deep technical knowledge, the Principal Data Engineer does hands-on development of data products of significant complexity using best practices. S/he acts as the go-to person on the technical aspects for data product teams and proactively identifies and drives adoption of new innovations and best practices at an industrial scale to deliver optimized and high-performing data pipelines.

Principle Data Engineer should have strong communication skills to translate data requirements into technical requirements. S/he drives delivery quality by ensuring appropriate development and quality practices are followed. S/he follows technological progress, defines common data engineering practices and ensures the best ways of working by teams. As a subject matter expert, s/he conducts trainings and provides guidance on data engineering practices, technology and development methods, demonstrating strong communication, mentoring and coaching skills. S/he also acts as a people manager for experts within the discipline.

We are seeking an enthusiastic person who is excited about developing their professional skills, learning new things and contributing to team success. We expect a self-driven, proactive approach to work, problem solving and sharing learnings with colleagues. We value teamwork, willingness to step out of the comfort zone, helping others and sharing information.

Key responsibilities

• Designing data pipelines and performing hands-on data engineering development tasks in product teams. Understand business needs, data, methods for industrializing data pipelines, their optimization and limitations.
• Demonstrating in-depth business domain knowledge, ensuring data pipelines are implemented with industry best practices, aligned with design principles and architecture guardrails, including planning and conducting quality actions such as code reviews and triages in the teams.
• Maximizing reusability and usage of common design patterns across data product teams to keep them lean and maintainable. Identify technical debt regularly and prioritize its management in the product backlogs.
• Planning production and support operations for data pipelines deployed for data consumers, troubleshooting incidents, identifying root causes and resolving them; identifying improvement opportunities based on performance metrics and data consumer feedback.
• When agreed, taking additional responsibilities such as leading organization-wide capability development, engaging with business stakeholders to provide data engineering and technology advisory, representing KONE in internal and external forums such as technology forums and university collaboration.
• Team lead for Data Engineers.

Qualifications and experience

• Master’s or PhD degree in a quantitative field, for example computer science, software engineering, statistics, mathematics, or data science/machine learning.
• Proven track record in applying data engineering practices to develop industrial-grade reusable data products using cloud technology, industrializing data pipelines to production-grade solutions and continuously improving them.
• 18–20 years of professional hands-on experience in data engineering and software engineering.
• Technical expertise in following tech stack: Databricks data engineering, Unity Catalog, Airflow, DBT, AWS Glue, AWS EMR, AWS Athena, Spark, Apache Flink, Apache Kafka, Terraform, Gitlab/Github. Databricks and AWS certifications preferred.
• Outstanding coding skills with multiple languages (Python, SQL, Scala) with proven hands-on experience in industry-standard SDLC methods, DevSecOps/DataOps practices spanning the full data product/data pipeline lifecycle.
• Expertise in cybersecurity guidelines, data privacy, compliance regulations and quality assurance practices, and cloud FinOps.
• Ability to write clear technical documentation and visualize technical design.
• Practical experience in working with complex enterprise data landscapes and data structures (IoT and main enterprise systems such as SAP ERP, Salesforce, PDM, MES, etc.) and continuously optimize cloud costs.
• Experience in coaching and/or mentoring, leading teams, sharing knowledge and maturing DataOps practices.
• Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io).
• Ability to work in a global multi-cultural team across different countries and effectively collaborate within the teams.
• Ability to self-organize and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills.
• Proficiency in spoken and written English and strong facilitation and communication skills.

At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. We are proud to offer a range of experiences and opportunities that will help you achieve your career and personal goals and enable you to live a healthy and balanced life.

Read more at https://careers.kone.com/en/