Software Engineer in Data (Senior)
On-siteJakarta, Jakarta, Indonesia
Job Summary
Translate requirements from international and Indonesian teams into high-quality software products while solving technically challenging problems. Deliver mission-critical features with a focus on quality, quantity, and timeliness, maintaining high ownership of assigned tasks. Convert detailed designs and specifications into robust code using Java, Python, or JavaScript/Node.js, adhering to software engineering practices like object-oriented design and version control. This role supports global collaboration with mentors and team leads to build scalable data solutions. Candidates must demonstrate strong coding skills, proficiency in cloud services like GCP or AWS, and familiarity with data platforms including BigQuery, Spark, and Apache Beam. A formal Computer Science degree is preferred, but demonstrable portfolio work is equally valued.
Required Qualifications
- 3+ years experience for Senior level
- Ability to work with mentors and team leads on international teams to deliver projects
- Focus on quality, quantity and timeliness of results, high ownership of tasks assigned
- Good communication skill, moderate proficiency in English language
- Ability to translate detailed design into high quality software
- Ability to produce high quality software from specifications without much rework
- Strong coding skills in at least one of {Java, Python, JavaScript/Node.js}
- Good understanding of software engineering practices like object-oriented design, data structure
- Familiar with version control (git) and basic linux operations
Desired Qualifications
- Experience from startup / fintech / banking industry is a plus
- A formal degree in Computer Science is preferred, but candidates with demonstrable skills and experience are equally valued
- Preferable: Familiar with GCP or AWS cloud service
- Preferable: Familiar with Cloud Dataflow/Apache Beam
- Preferable: Familar with Machine Learning Algorithm (Regression, Decision Tree, Neural Network/Deep Learning) and Machine Learning as a Service (MLaaS)
- Preferable: Familiar with DBT and Apache Airflow
- Preferable: Familiar with data platform services: ETL Ingestion, Data Lake, Data Warehousing: BigQuery, Redshift, Snowflake, Hadoop, big data processing: apache beam, flink, spark, etc, BI visualization tools: Redash, Looker, Tableau
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