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Data Engineer
2 months ago
As a Data Platform Engineer at IBM, you will play a critical role in developing, maintaining, and evaluating big data solutions. Your primary responsibilities will include strategic data model design, ETL optimization, robust data infrastructure management, and seamless data accessibility and security coordination.
Key Responsibilities:
- Data Model Design and ETL Optimization: Design, build, optimize, and support new and existing data models and ETL processes based on clients' business requirements.
- Data Infrastructure Management: Build, deploy, and manage data infrastructure that can adequately handle the needs of a rapidly growing data-driven organization.
- Seamless Data Accessibility and Security: Coordinate data access and security to enable data scientists and analysts to easily access data whenever needed.
Requirements:
- Development experience in big data software development technologies such as Python, Hadoop, Hive, or Spark.
- Proficient background in Unix or Linux programming language.
- Good understanding of SQL and RDBMS, and good data modeling skills.
- Ability to provide support for deployed data applications and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
Location: IBM locations in Quezon City (Eastwood and/or UP Ayala Technohub) or Cebu. Work schedule: client-based schedule (dayshift, mid-shift, night-shift).
About IBM: IBM is a company committed to creating a diverse environment and is proud to be an equal-opportunity employer. We are looking for a Data Platform Engineer to join our team and contribute to our mission of improving business, society, and the human condition through the application of intelligence, reason, and science.