Senior Data Engineering Analyst

Responsibilities:

• Develop and maintain scalable, efficient, and resilient data pipelines using PySpark and distributed processing frameworks.
• Modernize legacy data processes by migrating them to scalable distributed-processing architectures.
• Design and implement data processing solutions within AWS environments, leveraging appropriate cloud services.

Qualifications:

• Bachelor's degree or equivalent higher education.
• Solid professional experience with PySpark and distributed data processing frameworks.
• Strong knowledge of Apache Airflow, Apache Spark, and Hadoop where applicable; proficiency in Python and SQL.

Why Join:

• Opportunity to work on large-scale data platforms and modern cloud technologies.
• Exposure to complex data engineering challenges and continuous learning.
• Inclusive environment focused on diversity, collaboration, and professional growth.