This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and develop data processing solutions utilizing Databricks for extensive and varied datasets.

• Create, construct, and refine data pipelines using Python and cloud-native technologies.

• Collaborate closely with solution architects to establish and maintain best practices in data engineering.

• Ensure the integrity, security, and scalability of data within cloud environments.

• Construct scalable architectures for handling large and intricate datasets across AWS, Azure, and GCP.

• Utilize contemporary data frameworks, programming methodologies, and DevOps best practices.

⛳️ Requirements

• Strong commercial experience in data engineering, combined with practical expertise in Databricks.

• High proficiency in Python for automation and data transformation tasks.

• Professional experience with at least one major cloud service provider (AWS, Azure, or GCP).

• Excellent communication skills.

• Advanced proficiency in both English and Polish.

• Comprehensive understanding of SQL, including skills in query optimization and data modeling.

• Familiarity with DevOps practices, 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.

• Practical experience with PySpark for distributed data processing.

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

🏝️ Benefits

• Competitive salary and bonus structure.

• Opportunities for professional development and career growth.

• Flexible working hours and remote work options.

• Comprehensive health and wellness benefits.

• Collaborative and innovative work environment.