Data Engineer_L4 with Databricks

Tasks:

• Design and implement data processing solutions using Databricks for large-scale and diverse datasets

• Design, build, and enhance data pipelines with Python and cloud- native tools

• Work closely with solution architects to define and uphold best practices in data engineering

• Ensure data consistency, security, and scalability within cloud-based environments

  
  

Requirements:

• Experience in data engineering, with hands-on Databricks expertise

• Strong experience in Python for automation and data transformation

• Experience working with at least one major cloud platform (AWS, Azure, or GCP)

• Strong communication skills and strong English language skills

  
  

Nice to have:

• Solid understanding of SQL with experience in query optimization and data modeling

• 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

• Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse

• Hands-on experience with PySpark for distributed data processing

• Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications

  
  

Our offer: 

• Employment based on B2B contract via Experis for a period of 12 months

• Compensation: 150-175 PLN per hour 

• 100% remote work

• Multisport card

• Private healthcare system

• Life insurance