Data Engineer Specialist

5 days ago


Singapore DADACONSULTANTS PTE. LTD. Full time
Job Title: Data Engineer Specialist

Estimated Salary: SGD 100,000 - 150,000 per annum

About Us

DADACONSULTANTS PTE. LTD. is a reputable company that requires an experienced Data Engineer Specialist to join our team.

Job Description

We are seeking a skilled Data Engineer Specialist to design, build, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.

The ideal candidate will have a strong background in database design, various databases, and system design, with expertise in scripting languages such as Python and SQL.

Responsibilities
  • Perform data extraction, cleaning, transformation, and flow.
  • Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
  • Integrate and collate data silos in a manner that is both scalable and compliant.
  • Collaborate with Project Manager, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
  • Be responsible for developing backend APIs & working on databases to support the applications.
  • Bridge the gap between engineering and analytics.
  • Work in an Agile Environment that practices Continuous Integration and Delivery.
  • Work closely with fellow developers through pair programming and code review process.
Requirements
  • 3+ years of experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation.
  • Proficient in general data cleaning and transformation (e.g., pandas, pysparks, SQL).
  • Knowledge in database design and various databases (e.g., structured dbase(postgres, mysql etc and unstructured -mongodb etc).
  • Knowledge about system design, data structure, and algorithms.
  • Knowledge with rest API and web requests/protocols in general.
  • Comfortable coding in at least 2 scripting language (eg. Python/SQL).
  • Comfortable working in both windows and linux development environments.
  • Interest in data engineering in a big data environment using Cloud platforms (i.e. AWS, Azure, Google Cloud).
  • Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.


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