Primary Responsibility
• Establish Enterprise Data Lake
• Write automated job for data collection, with a proper monitoring and notification system.
• Integrate to various data sources: Databases (Relational & NoSQL), Text Files, Web Services, Emails, Log Files, Websites, Call Recordings, IVR, Cloud data sources, etc
• Transform various data formats: tables, delimited text, free text, JSON, HTML, XML, sound-wave, bitmaps, etc
• Research for optimal solution in building data lake. It could be research on software, hardware, procedures, best practices, or new data sources
• Share findings and lesson-learned to BICC team and other teams on BI Forum, with well explained documentation on Phabricator
• Implement all task and ad-hoc requests in high quality with proper analysis, code documentation (well commented and stored in Git), and high quality testing
• Provide expertise and consultation about data architecture and infrastructure
• Cooperate with Business Intelligence and other IT teams located in Jakarta and Czech Republic.
• Implement machine learning algorithms provided to scalable distributed system
Qualification
Qualification
• Bachelor in Computer Science / Computer Engineering / Information Technology
• Having more than 3 years of professional experience in data field, from various position such as ETL (Extract Transform Load) developer, database administrator, or EAI (Enterprise Application Integration) developer
• Able to converse in English fluently
• 2+ years of experience with SQL (Oracle, MySQL, Hive, etc)
• 2+ years of software engineering experience (Java, Python, R), with Git as versioning tool
• 1+ years of experience with ETL tool (Pentaho, DataStage, SSIS, ODI, Spark, etc)
• 1+ years of experience with any of Linux distro
• Basic knowledge of Hadoop ecosystem is an advantage
• Experience in NoSQL database (neo4j, MongoDB, HBase) is an advantage
• Crave for new technologies with fast learning and understanding process
Informasi lebih lanjut
Bidang Pekerjaan |
Status Kepegawaian |
IT/Desain
|
Full-Time
|
Pendidikan Terakhir |
Gaji |
Sarjana/S1
|
Sesuai Peraturan Perusahaan
|
Tingkat Jabatan |
|
Staff/Executive/Officer
|
-
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