Databricks Engineer
⚲ Poznań, Wrocław, Warszawa
21 840 - 26 880 PLN netto (B2B)
Wymagania
- Python
- Databricks
- English
- SQL
- Cloud
Opis stanowiska
For our key Client in the IT industry, we are seeking a Data Engineer with proficiency in Databricks.
Role: Databricks Data Engineer
Localization: Warsaw/Poznan or Wrocław- hybrid work
Your Tasks:
• Design, build, and enhance data pipelines with Python and cloud-native tools
• Design and implement data processing solutions using Databricks for large-scale and diverse datasets
• Ensure data consistency, security, and scalability within cloud-based environments
• Work closely with solution architects to define and uphold best practices in data engineering.
Requirements:
• Strong experience in Python for automation and data transformation ( Minimum 2.5 years of commercial experience)
• Strong experience in data engineering, with at least 1 year of hands-on
•
Databricks expertise
• Experience working with at least one major cloud platform (AWS, Azure, or GCP)
• Solid understanding of SQL with experience in query optimization and data
• modeling
• Strong communication skills and strong English language skills.
Nice to have:
• Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications
• Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep)
• Experience with real-time data streaming technologies such as Kafka or Spark Streaming
• Hands-on experience with PySpark for distributed data processing
Role: Databricks Data Engineer
Localization: Warsaw/Poznan or Wrocław- hybrid work
Your Tasks:
• Design, build, and enhance data pipelines with Python and cloud-native tools
• Design and implement data processing solutions using Databricks for large-scale and diverse datasets
• Ensure data consistency, security, and scalability within cloud-based environments
• Work closely with solution architects to define and uphold best practices in data engineering.
Requirements:
• Strong experience in Python for automation and data transformation ( Minimum 2.5 years of commercial experience)
• Strong experience in data engineering, with at least 1 year of hands-on
•
Databricks expertise
• Experience working with at least one major cloud platform (AWS, Azure, or GCP)
• Solid understanding of SQL with experience in query optimization and data
• modeling
• Strong communication skills and strong English language skills.
Nice to have:
• Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications
• Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep)
• Experience with real-time data streaming technologies such as Kafka or Spark Streaming
• Hands-on experience with PySpark for distributed data processing