Technical responsibility for data and data pipelines to ensure compliance with data standards, architectural standards, and achievement of documented requirements.
Develop and maintain current state documentation and deliverables for data solutions.
Maintain existing and new data solutions to ensure that they continue to meet user needs.
Create data tools for data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Collaborate with the Product, Engineering, and Data team to facilitate access to data.
Design, improve and manage the data warehouse and data structure in Zenius
Requirement:
Expert proficiency in Python, C++, Java, R, and SQL.
Advanced knowledge and experience working with complex ETL, unstructured datasets, and data warehousing tools.
Experience with cloud services such as GCP or AWS and Linux environment and storage architecture.
Experience with workflow scheduler (Azkaban / airflow).
Familiar with big data and data engineering infrastructure.
Excellent analytical and problem-solving skills.
Good communication (both English & Bahasa Indonesia) and collaboration skills.
Passionate about startup, innovation, and technology.
Adaptable to a dynamic, fast-paced environment and changing requirements.
Hiring criteria
You should have or be completing the following to apply for this opportunity.
Bachelor Degree in Computer Science, IT, Mathematics, or related field
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
I
Artificial Intelligence
Bioinformatics
Computer Graphics & Animation
Computer Science (all other)
Computer Systems and Networks
Cyber Security
Work rights
The opportunity is available to applicants in any of the following categories.
country
eligibility
Indonesia
Indonesian Temporary Work Visa
Graduate Success Stories
Graduate stories
"Saya apply di Zenius karena animasi di Zenius yang lebih terkonsep mulai dari pre-production sampai final production dibandingkan kompetitor lainnya"