Kone
Data & Analytics
PrincipalDataEngineer,DataProducts
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Data Engineer, Data Products at Kone. Skills: Data Engineering, Data Products, Cloud Technology, Data Pipelines. Design data pipelines. Hands-on data engineering development”
What You'll Achieve.
Deliver optimized and high performing data pipelines; Ensure reusability and maintainability of data products; Provide industrial grade data products; Drive delivery quality
Industry & Context.
Solve problems; Excellent problem-solving skills
What They're Looking For.
Must Have
Master's or PhD degree in a quantitative field, 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, Continuously improving data pipelines, 18-20 years of professional hands-on experience in data engineering and software engineering, Outstanding coding skills with multiple languages (Python, SQL, Scala), Proven hands-on experience in industry standard software development life cycle methods, DevSecOps/DataOps practices spanning the full data product/data pipeline lifecycle, Expertise in cybersecurity guidelines, Data privacy, Compliancy regulations, Quality assurance practices, Cloud FinOps, Ability to write clear technical documentation, Ability to visualize technical design, Practical experience in working with complex enterprise data landscapes and data structures, Continuously optimize cloud costs, Experience in coaching and/or mentoring, Leading teams, Sharing knowledge, Maturing DataOps practices, Passion to utilize agile development methodologies and tools, Ability to work in global multi-cultural team across different countries, Effectively collaborate within the teams, Ability to self-organize, Be proactive, Seek feedback, Be courageous and resilient, Excellent problem-solving skills, Proficiency in spoken and written English language, Facilitation skills, Communication skills
Nice to Have
Databricks certifications, AWS certifications
What You'll Do.
Design data pipelines
Hands-on data engineering development
Understand business needs
Industrialize data pipelines
Optimize data pipelines
Implement data pipelines with best practices
Align with design principles
Align with architecture guardrails
Maximize usage of common design patterns
Keep data products lean
Keep data products maintainable
Identify technical debt
Prioritize technical debt management
Plan production operations
Plan support operations
Identify improvement opportunities
Lead organization wide capability development
Engage with business stakeholders
Provide data engineering advisory
Provide technology advisory
Represent KONE in forums
Team lead for Data Engineers
How You'll Work.
Team & Collaboration
Work with product teams; Collaborate within teams; Work in global multi-cultural team
Communication Scope
Translate data requirements into technical requirements; Communication skills; Facilitation skills; Spoken and written English language
Process & Methodology
Product backlogs
Full Job Description
We are looking for a **Principal Data Engineer, Data Products** to join KONE IT Enterprise Data & Analytics team in Pune, India. The team is driving forward Data Foundation, new way of working with data using latest cloud technology. Data Foundation is key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole 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 the data products. Principal Data Engineer leads the design, development, and industrialization of data pipelines to provide industrial grade data products for our data consumers. With the deep deep technical knowledge, Principal Data Engineer does hands on development of data products of significant complexity using applicable best practices. S/he acts as the go-to-person on the technical aspects for data product teams. S/he proactively identifies and drives the adoption of both new innovations and best practices for adopting these at an industrial scale to deliver optimized and high performing data pipelines. Principal Data Engineer has strong communication skills to be able to translate the data requirements into technical requirements. S/he drives the delivery quality by ensuring appropriate development and quality practices are followed. Principal Data Engineer follows the technological progress, drives the definition of the common data engineering practises and ensures the best way of working by the teams. As subject matter expert in the discipline, s/he conducts trainings and provides guidance to others on data engineering practises, technology and/or development methods demonstrating strong communication, mentoring and coaching skill. Principal Data Engineer acts also as a people manager for experts within the discipline. We are searching for an enthusiastic person to
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