Competitive starting salary; private health care, ...
Hybrid
Azure cloud environment experience
Databricks and delta lake proficiency
Python and pyspark development skills
The Data Engineer is responsible for designing and implementing cloud-based analytics platforms and pipelines that acquire, cleanse, and transform data from various sources
Job Summary
The Data Engineer is responsible for designing and implementing cloud-based analytics platforms and pipelines that acquire, cleanse, and transform data from various sources.
Candidates must have proven experience with Azure, Databricks, Python, and PySpark to build efficient and reusable data services.
The role offers access to P&G-sized projects, world-leading technologies, and a hybrid work model allowing two days of remote work per week.
Matching Summary
The Data Engineer is responsible for designing and implementing cloud-based analytics platforms and pipelines that acquire, cleanse, and transform data from various sources.
Salary
Competitive starting salary; Private health care, P&G stock, saving plans, sport cards included; Regular salary increases and promotions based on performance
Skills & Requirements
Must-have
Azure cloud environment experience
Databricks and Delta Lake proficiency
Python and PySpark development skills
ETL/ELT process design and implementation
Git version control and GitFlow model
Nice-to-have
Power BI Tabular model development
DAX knowledge for reporting
Continuous Integration deployment processes
Apache Spark certification
Collaborative agile development practices
Key Requirements
Bachelor's degree in Computer Science or related field
Azure Associate Data Engineer (DP-203) certification preferred
Experience with Power BI and DAX
Proficiency in Git and CI/CD processes
Work Rights
Must agree to Umowa o Pracę (Full-time Employment Contract)