Data Engineer (Python, PySpark, ETL, Databricks)

Náplň práce, právomoci a zodpovednosti:

• Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks.
• Provide technical guidance, mentoring, and support.
• Implementing and enforcing architectural standards and frameworks to ensure a flexible and scalable data environment.
• Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions.
• Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation.
• Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows.
• Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability.
• Playing a key role in DevOps activities, including deployment of jobs and required infrastructure setup.
• Staying updated with the latest industry trends and technologies in data engineering and analytics.

Zamestnanecké výhody, benefity:

• Individual career program for employees.
• Guaranteed 13th salary.
• Annual bonus.
• Travel allowance.
• Year-over-year salary increase.
• Extra pocket money for business trips abroad.
• Discounted meals in the canteen.
• Rewards for implemented improvements.
• Annual benefits package for sports, health, culture, relaxation, and shopping.
• Option to work from home twice a week.

Požiadavky na zamestnanca:

2+ Years of experience in the field of Data Engineering & Analytics.

Strong understanding of Data warehousing, engineering & ETL concepts.

Experience in Databricks development using Python, PySpark & DLT Pipelines.

Experience working with databases and various types of data storage.

Excellent communication and interpersonal skills

Time and project management skills, with the ability to prioritize and multitask as needed.

Goal orientation and holistic thinking and action.

Experience working with Azure / AWS.

Certifications in relevant data technologies will be an added advantage.