Data Engineer

Accountabilities:

• Design, build, and optimize ETL/ELT workflows using Databricks, SQL, and Python/PySpark.
• Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets.
• Work on cloud platforms (Azure, AWS) to build and manage data lakes and scalable architectures.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 3–6 years of experience in Data Engineering or related roles.
• Hands-on experience with big data processing frameworks and data lakes.

Benefits:

• Flexible remote working conditions.
• Opportunities for professional growth and training.
• Health and wellness benefits.