PySpark

Summary:

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark.

Roles & Responsibilities:

- Design, develop, and maintain data solutions for data generation, collection, and processing using PySpark.

- Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.

- Collaborate with cross-functional teams to identify and resolve data-related issues.

- Stay updated with the latest advancements in data engineering and integrate innovative approaches for sustained competitive advantage.

Professional & Technical Skills:

- Required Skill: Expert proficiency in PySpark.

- Strong understanding of data engineering concepts and ETL processes.

- Experience with data visualization tools such as Tableau or Power BI.

- Experience with cloud-based data platforms such as AWS or Azure.

- Additional Good To Have Skills: Python (Programming Language), English, Jenkins (Software).

Additional Information:

- The candidate should have 1 year of experience in PySpark.

- The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions.

- This position is based at our Manila office.