KONE
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at KONE. Skills: data engineering, DevOps mindset, modern multi cloud stack, data pipelines, lake house architecture, Databricks, Delta Lake, SQL, Python. hands on data engineering tasks from new development to resolving technical issues. maintaining and optimizing workloads”
What You'll Achieve.
contributing to team success; reach goals together; continuously looks for improvement opportunities in own area; make decisions
Industry & Context.
solve problems; excellent problem-solving skills
What They're Looking For.
Must Have
Master's degree in either software engineering, data engineering, computer science, or a related field, Hands-on data engineering professional experience (> 3 years), Hands-on development experience on lake house architecture based on Databricks and Delta Lake, multi-hop medallion architecture to divide the data lake into bronze, silver and gold layers based on the quality and reusability of the data stored there, data product publishing in Unity catalog, coding proficiency with multiple languages SQL and Python, Fluency in industry-standard DevOps practices and tools, Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT, Experience on enterprise data sources: Experience in woring with e. g. SAP ERP, Salesforce, Droduct data management (PDM), and many others, Way of working professional experience, Passion to utilize agile development methodologies and tools (Jira, Confluence, draw. io), Inbuilt cybersecurity awareness, Understanding on data privacy and compliancy regulations, Ability to work in global multi-cultural team and effectively collaborate within the team, Ability to self-organize, take accountability and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills, Experience of DataOps and ITSM processes, Proficiency in spoken and written English language
Nice to Have
additional language are bonus, cloud platform certs
What You'll Do.
hands on data engineering tasks from new development to resolving technical issues
maintaining and optimizing workloads
developing and maintaining data pipelines on AWS
Azure and/or Databricks
How You'll Work.
Team & Collaboration
Ability to work in global multi-cultural team and effectively collaborate within the team; share the learnings to colleagues; enjoy teamwork; want to help others and share information
Communication Scope
facilitation skills; communication skills
Full Job Description
To join the team developing the Data Foundation based data products for a KONE. Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization. Data products play a vital role in business value generation and driving optimized data architecture is crucial to ensure reusability of the data assets on the cloud based Data Foundation. This is a hands-on, roll up your sleeves position that requires a passion for data, engineering and DevOps. In this role you will be doing hands on data engineering tasks from new development to resolving technical issues, maintaining and optimizing workloads. We offer a chance to work hands-on with state-of-the-art cloud technology in a global, multi-cultural work environment being located in our office in Pune. We approach multi-cloud data engineering experience, as your professional background. We are searching for an enthusiastic person to join the team who is excited about developing own professional skills even further, learning new things and contributing to team success. An ideal candidate has a strong background in data engineering, SW engineering and data integration with modern multi cloud stack, but above all will commit to a DevOps mindset and reach goals together. We are expecting you to take self-driven, proactive approach to your work, find & implement solutions, continuously looks for improvement opportunities in own area, solve problems, make decisions and share the learnings to colleagues. We want to work with people who enjoy teamwork, are not afraid to step out of their comfort zone, want to help others and share information. To succeed in this role, following professional experience will play a key role: * Master's degree in either software engineering, data engineering, computer science, or a related field * Hands-on data engineering professional experience (> 3 yea
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