Data Infrastructure Specialist

11 hours ago

Singapore beBeeData Full time
Job Title:
Data Infrastructure Specialist
As a Data Infrastructure Specialist , you will design, build, and maintain scalable data infrastructure to support our organization's data-driven initiatives. Your expertise in data engineering will enable us to detect and prevent unauthorized privileged access.

Key Responsibilities:

  • Create and implement ETL/ELT pipelines and data workflows that integrate with various data sources.
  • Design and manage scalable data warehousing solutions that ensure data quality, consistency, and integrity.
  • Develop and deploy machine learning models into production environments, driving business insights and decision-making.
  • Collaborate with cross-functional teams to develop data-driven features and enhance our data ecosystem.

Senior Data Infrastructure Specialists' Responsibilities:

  • Establish best practices for data and DevOps processes, ensuring seamless data flow and efficient operations.
  • Provide technical leadership and guidance across teams, driving innovation and excellence in data engineering.
  • Mentor junior engineers and contribute to team capability building, fostering growth and development.

Requirements:

  • Strong proficiency in Python programming language.
  • Experience with SQL, NoSQL, or Graph databases, ensuring data storage and retrieval efficiency.
  • Familiarity with cloud platforms (GCP, AWS) and SPLUNK, enabling scalability and security.
  • Experience with CI/CD pipelines, automating testing and deployment.
  • Solid foundation in algorithms, database structures, and integration strategies, ensuring robust data solutions.
  • Proven ability to design scalable data solutions, driving business value and success.

Preferred Skills:

  • Experience building scalable APIs and deploying ML/AI solutions, enhancing data-driven decision-making.
  • Knowledge of data-intensive frameworks and event-driven architectures (e.g., Kafka, SQS), optimizing data processing and analysis.
  • Exposure to graph data structures, enabling complex data modeling and relationships.

In this role, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and drive innovation in data engineering. If you are passionate about data, driven by problem-solving, and thrive in fast-paced environments, we encourage you to apply.

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