Transformative Data Expert

6 days ago

Singapore beBeeData Full time
Job Description

We are seeking a skilled Data Engineer to collaborate with cross-functional teams and contribute to the company's core business.

This is an opportunity to work on challenging data development and construction tasks, designing, building, and optimizing scalable data pipelines to support complex analytical queries and reporting requirements.

  • Collaborate closely with product managers, strategic operations, internal engineering teams, etc. to understand data requirements and provide data solutions that meet business needs.
  • Evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and querying.
  • Design, build, and optimize scalable data pipelines to ingest, process, and transform large volumes of data to support complex analytical queries and reporting requirements.
Required Skills and Qualifications

To be successful in this role, you should have:

  • A bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.
  • Experience as a data engineer or similar role supporting data-centric businesses.
  • Solid knowledge of SQL and work experience with relational and non-relational databases.
  • Proficiency in at least one programming language such as Python, Java, Go, etc.
  • Solid mastery of data modeling and data warehouse concepts, data integration, and ETL/ELT technologies.
  • Effective communication skills and the ability to collaborate effectively with cross-functional teams.
Benefits

This position offers opportunities for professional growth and development, working with talented cross-functional partners to efficiently solve challenging data development and construction tasks.

As a Data Engineer, you will contribute to the company's core business, and your daily work will directly impact the company's and customers' financial security and business strategic planning.

Others

Responsibilities include collaborating with cross-functional teams to design, build, and optimize scalable data pipelines, ensuring data integrity, accuracy, and consistency by implementing data quality checks, validation processes, and monitoring mechanisms.

Continuously optimize data pipelines, queries, and processes to improve performance, reduce latency, and enhance scalability.

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