Job Description

Job Title: Data Analytics EngineerLocation: Kuala Lumpur, MalaysiaDuration: Full TimeKey Responsibilities:

• Develop, optimize, and maintain data pipelines using Python, Go, SQL, DBT, and GCP (BigQuery).
• Implement CI/CD pipelines and version control workflows in GitHub to enhance deployment efficiency.
• Improve data observability and reliability by integrating MonteCarlo, PagerDuty, and Looker into workflows.
• Enhance data quality by writing clean, readable, high-performance SQL queries with robust debugging capabilities.
• Design and implement data models that align with business needs, ensuring scalability and normalization using DBT.
• Automate and optimize data ingestion, transformation, and monitoring processes with an ELT-first mindset.
• Work closely with cross-functional teams to evaluate, transition, and implement new tools such as Databricks and Informatica.
• Participate in the migration strategy as we phase out Fivetran and Homegrown ELT solutions, contributing to tool selection and implementation.

• Strong experience in Python, Go, SQL, and DBT
• Proficiency in GCP (BigQuery), Fivetran, MonteCarlo, PagerDuty, and Looker
• Deep knowledge of data modeling, performance optimization, and ELT architecture
• Experience with CI/CD pipelines, GitHub, and automation-first engineering practices
• Bonus: Experience with Databricks and Informatica is a huge plus!
• Strong problem-solving mindset, critical thinking, and adaptability
• Ability to work collaboratively across teams, functions, and time zones
• Outstanding communication, decision-making, and stakeholder management skills

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