✨ The Role in One Sentence

We are seeking a Data Engineer to expand and optimize our data infrastructure and assist with data requests.

📋 What You'll Likely Do

• 40%: Design, build, and maintain ETL processes and data pipelines to integrate multiple data sources.

• 30%: Improve data infrastructure to enhance reliability, performance, and scalability using cloud-based solutions.

• 30%: Ensure data quality and governance by implementing best practices for data integrity, monitoring, and security.

🧑‍💻 Profiles Doing This Job

• High Priority: 3+ years of experience in data engineering.

• High Priority: Proficient in Python, SQL, Google Cloud Platform, and Spark (via PySpark).

• High Priority: Strong experience in ETL processes and data pipelines.

📈 How This Role Will Look on Your CV

• Developed and optimized data pipelines using Google Cloud Platform and PySpark.