Junior Data Engineer

Wakeb_Data; Riyadh Region; Presencial; SAR 90.000 - 150.000; Jornada completa

Descripción de la vacante

Wakeb_Data is seeking a data engineer to design and implement scalable data pipelines and storage solutions in a fast-paced environment. The role focuses on data quality, security, and reliable processing across diverse data sources.

The candidate will collaborate with analysts and data scientists to enable data-driven decision-making, leveraging tools like Airflow, PySpark, NiFi, Hive, Snowflake, and Databricks.

Formación

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 0–3 years of experience in data engineering.
• Proficiency in SQL, Python, ETL tools, and databases.
• Familiarity with Windows, Linux, and Big Data technologies.
• Knowledge of Snowflake or Databricks is a plus.
• Strong analytical and problem-solving skills.

Responsabilidades

• Clean, transform, and process data from multiple sources.
• Build and maintain databases and data warehouses.
• Ensure data quality, security, and system performance.
• Work with Big Data tools such as Airflow, PySpark, NiFi, and Hive.
• Collaborate with Data Analysts, Data Scientists, and the Data Office.

Conocimientos

SQL

Python

ETL tools

Databases

Big Data technologies

Analytical skills

Educación

Bachelor's degree

Herramientas

Airflow

PySpark

NiFi

Hive

Snowflake

Databricks

Descripción del empleo

Design and develop data systems and pipelines to ensure efficient data processing, quality, and reliability, supporting data-driven decision-making.

Key Responsibilities

• Clean, transform, and process data from multiple sources.
• Build and maintain databases and data warehouses.
• Ensure data quality, security, and system performance.
• Work with Big Data tools such as Airflow, PySpark, NiFi, and Hive.
• Collaborate with Data Analysts, Data Scientists, and the Data Office.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 0–3 years of experience in data engineering.
• Proficiency in SQL, Python, ETL tools, and databases.
• Familiarity with Windows, Linux, and Big Data technologies.
• Knowledge of Snowflake or Databricks is a plus.
• Strong analytical and problem-solving skills.