Data Modeling Expert for Large-Scale Data Infrastructure

1 day ago


Makati City, National Capital Region, Philippines Hunter's Hub, Inc. Full time

Job Title: Data Modeling Expert for Large-Scale Data Infrastructure

About Us

Hunter's Hub, Inc. is a cutting-edge organization that leverages data to drive innovation and growth.

Job Description

We are seeking an exceptional Senior Data Engineer with over 10 years of experience in designing, developing, and maintaining large-scale data infrastructure. The ideal candidate will be responsible for leading the development of scalable data pipelines, ETL processes, and data models to support our data-driven initiatives.

Key Responsibilities:
  1. Design and develop efficient data models and structures to meet business requirements.
  2. Collaborate with cross-functional teams to understand data needs and translate them into actionable insights.
  3. Implement best practices for data governance, quality, and security to ensure compliance and integrity of the data infrastructure.
  4. Optimize and tune database systems and queries for performance and scalability.
  5. Lead and mentor junior data engineers, providing guidance and expertise in data engineering best practices.

The successful candidate will possess a deep understanding of data architecture, ETL processes, and data modeling techniques. They will also have strong communication and collaboration skills, with the ability to work effectively in a fast-paced environment.

Requirements

To be considered for this role, you must have:

  • At least 10 years of professional experience in data engineering, with a focus on data modeling.
  • Expertise in designing and implementing data models for relational and non-relational databases.
  • Strong proficiency in SQL and experience with database technologies such as SQL Server, PostgreSQL, or NoSQL databases.
  • A bachelor's or master's degree in Computer Science, Engineering, or a related field.

If you are a seasoned Senior Data Engineer with a passion for data modeling and a proven track record of success in complex data environments, we would love to hear from you.



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