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
Job Summary
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.
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.
Matching Summary
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.
Skills & Requirements
Must-have
modern multi cloud stack
DevOps mindset
AWS CDK and Terraform for IaC
lake house architecture
Databricks and Delta Lake
multi-hop medallion architecture
data product publishing in Unity catalog
enterprise data landscapes
agile development methodologies
Nice-to-have
enthusiastic person
developing own professional skills
learning new things
contributing to team success
enjoy teamwork
not afraid to step out of comfort zone
help others and share information
inbuilt cybersecurity awareness
data privacy and compliancy regulations
sustainability is integral part of culture
Key Requirements
Master's degree in software engineering, data engineering, computer science, or related field
> 3 years hands-on data engineering professional experience
Developing and maintaining data pipelines on AWS, Azure and/or Databricks
Working proficiency in AWS, Gitlab, Databricks for ETL, Airflow, SCL, Python, Scala, and DBT
Strong coding proficiency with SQL and Python
Fluency in industry-standard DevOps practices and tools
Experience on enterprise data sources like SAP ERP, Salesforce, Droduct data management (PDM)
Proficiency in spoken and written English language