Job Openings Data Engineer

About the job Data Engineer

White Cloak Technologies is seeking a highly skilled and experienced Data Engineer to join our team in Metro Manila, Philippines. As a Data Engineer, you will be responsible for designing, building, and maintaining data infrastructure and systems.

Key Responsibilities:

  • Design and build data pipelines and ETL processes to extract, transform, and load data from various sources
  • Implement data models and structures to support data analytics and reporting
  • Collaborate with cross-functional teams to identify and address data needs and requirements
  • Develop and maintain data warehouse and data lake solutions
  • Monitor and troubleshoot data processes to ensure data accuracy and integrity
  • Optimize data storage and retrieval for efficient data processing
  • Stay updated on industry trends and best practices in data engineering and apply them to our systems
  • Train and mentor junior data engineers on data engineering principles and best practices

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • Minimum of 3 years of experience in data engineering or a related role
  • Strong knowledge of SQL and experience with relational databases (e.g. MySQL, PostgreSQL)
  • Experience with ETL tools and processes (e.g. Informatica, Talend)
  • Proficient in at least one programming language (e.g. Python, Java)
  • Familiarity with cloud data platforms (e.g. AWS, Azure, Google Cloud)
  • Knowledge of data warehousing concepts and data modeling techniques
  • Experience with data visualization tools (e.g. Tableau, Power BI) is a plus
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Ability to work independently and manage multiple projects simultaneously
  • Willingness to learn and adapt to new technologies and tools

We are looking for a self-motivated and detail-oriented individual who is passionate about data and has a strong desire to continuously improve and optimize data processes. If you are a data enthusiast with a strong technical background and are looking for an exciting opportunity to work with a dynamic team, then we want to hear from you!