As part of the analytics team you will design, develop and implement data products and tools together for our business analysts and data scientists.
You will be responsible for the reliability, scalability, and usability of all of our all of our data elements, whether in databases or in raw form.
You will maintain and manage data storage, workflows and pipelines and work closely with our backend engineers to put these solutions into production.
Automate manual processes, optimize data delivery, re-design infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and other technologies.
You research new technologies and solutions in the realm of data analytics and data science that can increase the performance, reliability and quality of our data assets.
You will collaborate with internal teams (engineering, analytics, and operations) to bring our products from design to delivery

You should have:

Exceptional CAN-DO ATTITUDE
Bachelor’s degree in Engineering, Computer Science, or similar advanced degree
3+ years working experience developing ETL solutions, data workflows, pipelines and products in
Python, R, Scala or equivalent
Familiarity with Test Driven Development
Solid communication skills (Bahasa Indonesia and English)
Attention to detail and high-quality standards
You are resourceful, flexible and self-motivated to explore new technologies to solve the problem at hand
Able to write basic to advanced SQL queries
Familiar with launching and managing in at least one of the major cloud services (AWS, GCP, Azure or AliCloud)

Nice-to-have experience in any of the following:

Knowledge about machine learning and the python data stack: Numpy, Pandas, Scipy, Scikit-learn etc.
Stream and batch processing
Familiar with other data technologies: e.g. Airflow, Spark, Elastic Search, Kafka, PubSub
Master’s Degree in Engineering or Computer Science

Make an impactof your own.

Senior Data Engineer