We are looking for a Senior Data Engineer who will primarily be responsible to build and maintain our data warehousing system.
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
Bachelor Degree in Computer Science, IT, Mathematics, or related field.
Minimum 3-5 years experience as Data Engineer, Data Warehouse, Business Intelligence.
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 (azkabar / 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 dynamic, fast-paced environment and changing requirements.
Ability to coordinate more than one project at a time.
Excellent time management skills to ensure project deadlines are met;
Assess potential risks and costs;
B.Eng in electrical/electronics/mechanical/industrial or equivalent.
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