Data Engineer

We are looking for a seasoned Data Engineer to join our growing data team.

Responsibilities

• Own and lead the development of scalable, efficient, and robust data pipelines (ETL/ELT) from ingestion to delivery.
• Design and implement data processing workflows to support business analytics and machine learning.
• Drive the migration of our current Hadoop-based infrastructure to a Spark-based architecture on AWS.
• Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to define data requirements and optimize data flow.
• Ensure data quality, observability, and compliance across systems.

Requirements

• 4+ years of hands-on experience as a Data Engineer.
• Strong programming skills in Python and advanced proficiency in SQL.
• Hands-on experience with developing ETL/ELT pipelines using Spark and SQL.
• Experience working with cloud-hosted data warehouses such as Hive, Snowflake.
• Solid understanding and experience with the Hadoop ecosystem and distributed computing tools (e.g., EMR, Hive, Presto/Trino, Athena, AWS Glue).
• Proven expertise in data warehousing concepts, data modeling, and best practices.
• BA/BSc in Computer Science, Engineering, Information Systems, or equivalent.
• Excellent analytical skills and a strong attention to detail.
• Strong communication skills in English (written and verbal).
• Demonstrated ability to work both independently and in a collaborative team environment.

Will be a plus

• Familiarity with Kafka, Confluent, Fluentd, Spark, and Airflow.
• Experience with data visualization tools (e.g., Tableau).
• Previous experience in the media or TV industry.

What we offer

• Flexible work arrangements.
• 20 working days per year is a Non-Operational Allowance and settled to be use for personal recreation matters and are compensated in full.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Help and support from our caring HR team.