Data engineering professional experience (> 3 years)
Aws, azure, and/or databricks data pipelines
Databricks and delta lake lake house architecture
KONE Bulgaria is seeking a Senior Data Engineer to contribute to the development of data products that support their digital transformation initiatives. The ideal candidate will have extensive experience in data engineering, a strong coding background, and a commitment to DevOps principles
Job Summary
Develop Data Foundation based data products to enable digital transformation, scalable analytics, AI, and digital use cases.
This is a hands-on role involving data engineering tasks, issue resolution, maintenance, and optimization using state-of-the-art cloud technology.
Contribute to a global, multi-cultural work environment with a focus on teamwork, continuous learning, and achieving goals together.
Matching Summary
Match Score: 85
KONE Bulgaria is seeking a Senior Data Engineer to contribute to the development of data products that support their digital transformation initiatives. The ideal candidate will have extensive experience in data engineering, a strong coding background, and a commitment to DevOps principles.
Skills & Requirements
Must-have
Data engineering professional experience (> 3 years)
AWS, Azure, and/or Databricks data pipelines
Databricks and Delta Lake lake house architecture
SQL and Python coding proficiency
DevOps practices and tools
Enterprise data landscapes and structures
Agile development methodologies
Nice-to-have
Multi-cloud data engineering experience
Strong coding proficiency with multiple languages
Enterprise data sources experience (SAP ERP, Salesforce)
Inbuilt cybersecurity awareness
DataOps and ITSM processes experience
Excellent problem-solving skills
Key Requirements
Master's degree in software engineering, data engineering, computer science, or related field
> 3 years hands-on data engineering professional experience
Working proficiency in AWS, Gitlab, Databricks, Airflow, SCL, Python, Scala, DBT, AWS CDK, and Terraform
Experience with lake house architecture (Databricks, Delta Lake, medallion architecture)
Fluency in industry-standard DevOps practices
Experience with enterprise data sources (SAP ERP, Salesforce, PDM)