Data Engineer (Databricks, Apache, Spark)

Role: Data Engineer Databricks/Apache Spark

Location: any city in Poland

Type of work: remote ONLY FROM POLAND

Compensation: base salary + financial bonus

Job responsibilities:

• Design, develop, and maintain scalable data pipelines on Databricks using PySpark.
• Collaborate with data analysts and scientists to understand data requirements and deliver solutions.
• Optimize and troubleshoot existing data pipelines for performance and reliability.
• Ensure data quality and integrity across various data sources.
• Implement data security and compliance best practices.
• Monitor data pipeline performance and conduct necessary maintenance and updates.
• Document data pipeline processes and technical specifications.
• Should be flexible to work on both Development and L2 Support tasks.

Required skills:

• 3+/5+ years of experience in data engineering.
• Proficiency with Databricks and Apache Spark.
• Strong SQL skills and experience with relational databases.
• Experience with big data technologies (e.g., Hadoop, Kafka).
• Knowledge of data warehousing concepts and ETL processes.
• Experience with CI/CD tools, particularly Jenkins.
• Excellent problem-solving and analytical skills.
• Solid understanding of big data fundamentals and experience with Apache Spark.

Preferred skills:

• Familiarity with cloud platforms (e.g., AWS, Azure).
• Experience with version control systems (e.g., BitBucket).
• Understanding of DevOps principles and tools (e.g., CI/CD, Jenkins).
• Databricks certification is a plus.

We offer:

• Work in dynamic, international, friendly company
• Free medical care
• Financial bonus
• Benefit Platform
• Life insurance
• Language courses