IT Programmer
Pt Boer Technology
PT Tricada Intronik
Posted 2 days ago
Job description
Job opportunity for Data Engineer at PT Tricada Intronik in KOTA BANDUNG, JAWA BARAT, Indonesia.
Qualification:
Responsibilities:
Gather requirements for model parameters.
Build feature extraction scripts to automate the process for the ML model.
Collaborate with product owners/technical leaders to integrate ML models into products/services.
Process data from streaming/raw data based on user needs.
Design and maintain scalable and reliable data pipelines to move data across systems.
Develop and optimize data warehousing solutions, ensuring efficient data delivery and storage for analysis.
Design distributed systems to apply machine learning and data science techniques.
Requirements:
Bachelor or higher degree in Computer Science or related fields
1+ years of hands-on experience with technologies such as Apache Spark, SQL, NoSQL, and PostgreSQL
1+ years' experience with Cloud Environments like GCP, AWS, or Azure is preferable
Experience in AI/ML Platforms like BigQuery, TensorFlow, or another product is a big plus
Project experience using Computer Vision is highly recommended
Experience in building and optimizing data warehousing solutions
Proficiency in at least one of the following programming languages: Java/Python
Proficient in Unix and Linux operating systems
Experience in writing Apache Spark is preferable
Proficiency in designing and maintaining end-to-end data pipelines
Strong knowledge of data warehousing concepts, architectures, anprocesses
Proficiency in Postgres, MySQL, and also NoSQL
Passionate about coding and programming, innovation, and solving challenging problems
Skills required
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Company information
Application tips
Frequently Asked Questions
This position is located in KOTA BANDUNG, JAWA BARAT, Indonesia.
This is a Full-time position.
This role is suitable for Entry level candidates.
Key requirements include: Responsibilities:, Gather requirements for model parameters., Build feature extraction scripts to automate the process for the ML model..
You can apply by contacting [email protected].
Applications can be submitted through this link.
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