Data Engineer

7 days ago

Manila, National Capital Region, Philippines Prime Manpower Resources Development Inc Full time ₱900,000 - ₱1,200,000 per year

Essential Duties and Responsibilities:

  • Design, build, and maintain scalable data pipelines that support data collection, transformation, and integration from various sources.
  • Maintain databases, data warehouses, data lake ensuring data integrity, scalability, and reliability.
    • Implement efficient ETL/ELT (Extract, Transform, Load) processes to automate data collection, cleaning, and transformation tasks.
  • Integrate data from various internal and external sources, including APIs, cloud storage, third-party systems, and databases.
  • Optimize data architectures for performance, scalability, and cost efficiency. Ensure fast and reliable data retrieval.
  • Work closely with the data team to understand data needs and deliver reliable, clean, and accessible data solutions.
  • Implement data validation and monitoring processes to ensure data accuracy and integrity. Identify and troubleshoot data issues and bottlenecks.
  • Manage and optimize cloud-based infrastructure (e.g., AWS, Azure) to support data storage, processing, and retrieval.
  • Automate repetitive tasks and processes using scripting languages (e.g., Python and SQL) and workflows.
  • Document data architectures, pipelines, and workflows that will be understood by the Information Technology (IT) department. Provide technical support and troubleshooting to the team.
  • Demonstrating a strong track record of interacting with the business and technology partners to drive the requirement, technical process into acceptance criteria.

Qualifications:

  • Degree in Computer Engineering / Data Science / Statistics / Physics or any other related field in IT.
  • Knowledge in Agile methodology (e.g. Scrum & Kanban)
  • Experienced in using cloud computing platforms (Azure)
  • Coding Languages:Python (Apache Spark), SQL, DAX
  • File types: parquet; sql; csv; xlsx; json; txt
  • Systems / Softwares / Platforms o Github; Databricks; AWS; PowerBI; Linux
  • Other Qualifications: ETL/ELT; Integration; API; Statistics; Code/Performance Optimization; Data Wrangling; Data Pipelines; Data Modeling; Data Quality; Data Governance
  • Nice to have but not required: LS Central; Dynamics 365 (Business Central); Microsoft SQL Server; Azure; Tableau; Javascript; HTML; CSS; AL

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