remoteonsite
Data Engineer, Data Products - KONE
Data Engineer
Design and implement scalable data pipelines and data products, leveraging Python, SQL, Azure services, and Spark to support analytics and business intelligence across the organization.
About the role
Key Responsibilities
- Develop, test, and maintain robust ETL pipelines that ingest, transform, and load data from diverse sources into the enterprise data warehouse.
- Design and implement data models and data products that enable self‑service analytics and reporting for business stakeholders.
- Collaborate with data scientists, analysts, and product owners to understand data requirements and translate them into scalable solutions.
- Optimize data processing workflows using Azure Data Factory, Azure Databricks, and Apache Spark for performance and cost efficiency.
- Implement data quality checks, monitoring, and alerting to ensure reliability and accuracy of data assets.
Requirements
- Strong proficiency in Python and SQL for data manipulation and pipeline development.
- Hands‑on experience with cloud platforms, preferably Microsoft Azure (Data Factory, Synapse, Databricks).
- Solid understanding of data warehousing concepts, dimensional modeling, and ETL best practices.
- Experience working with big‑data processing frameworks such as Apache Spark.
- Ability to work in an agile environment, communicate technical concepts clearly, and collaborate across cross‑functional teams.
Skills
pythonsqlazureapache spark