Senior Data Engineer
DevOps Backend Python DevOps Backend Cloud AI/Artificial Intelligence SQL Data Engineer
Salary
Location
Job Overview And Responsibility
- Design, build, and optimize scalable data pipelines and architectures on AWS. - Develop robust ETL/ELT workflows using tools like Airflow, Glue, DBT, and Fivetran. - Implement real-time data streaming and batch processing using Kafka, Flink, or Beam. - Collaborate with cloud and DevOps engineers to deploy secure, reliable data solutions. - Tune and troubleshoot performance of large datasets in Redshift, PostgreSQL, etc. - Participate in code reviews and mentor junior team members (if applicable). - Work closely with the CTO and Solution Architects to define technical direction.
Required Skills and Experience
- 4–5+ years of experience in data engineering or backend engineering roles. - Proficient in SQL and Python; comfortable writing modular, production-ready code. - Solid hands-on experience with at least one major cloud platform (AWS preferred). - Familiarity with tools like Airflow, Glue, DBT, Fivetran, or Talend. - Comfortable with real-time processing (Kafka, Flink) and orchestration frameworks. - Experience working with modern data warehouses (Redshift, BigQuery, Snowflake) and lakes. - Curiosity to explore, learn, and adopt new data technologies.
Why Candidate should apply this position
- Meaningful projects with large enterprise and digital-native clients across industries. - Be part of a young, fast-moving team at the forefront of cloud transformation in Southeast Asia. - Access to training and AWS certifications, bootcamps, and career mentoring. - Work in a multicultural environment with global exposure and remote flexibility. - Company trips, social events, and a collaborative team culture. - Competitive salary, performance bonuses, and a comprehensive benefits package.
Preferred skills and experiences
- Prioritize candidates who can onboard as soon as possible.
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Manager
Interview process
1-2 rounds with Hiring Manager
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