Junior Data Engineer

Job Responsibilities:

Build, maintain, and optimize data frameworks for ingestion, processing, and governance.

Work with Big Data technologies (Apache Spark, Hive, Presto, Iceberg) to manage large-scale data.

Implement and manage metadata frameworks, ensuring proper data lineage across platforms.

Gain hands-on experience with Iceberg in data lake architecture for scalable data processing.

Support data governance and ensure compliance with regulations (e.g., GDPR, PCI-DSS).

Collaborate with teams to optimize data solutions for business needs.

Contribute to the improvement of data pipelines and frameworks.

Develop analytics applications and visualize data to inform business decisions.

Requirements:

3 - 5 years of experience with Big Data technologies (Apache Spark, Hive, Presto).

Minimum 3 to 5 years of experience as a Data Engineer.

Basic knowledge of metadata management and data lineage.

Familiarity with Iceberg and cloud platforms (AWS, GCP, or Azure).

Understanding of data governance and compliance regulations.

Strong problem-solving and collaboration skills.

Bachelor's degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related fields