Data Engineer

2 weeks ago

Libis P, Philippines Peregrine Consulting Ltd Full time

About the role:

The Data Engineer will be responsible for designing, developing, and managing data pipelines and architectures. S/he will ensure that data flows seamlessly from multiple sources into databases, data lakes, or warehouses and is processed in a way that supports business analysis and decision-making. The ideal candidate will have strong software engineering skills, experience with data processing frameworks, and the ability to optimize and scale large data systems.

Job 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.
  • Keen on performing user live verification and testing to avoid errors before going to the production environment.
  • Provide support for data extraction and reports as required.

Job 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 (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
  • Willing to work onsite in Libis, Quezon City

Nice to have but not required

  • LS Central; Dynamics 365 (Business Central); Microsoft SQL Server; Azure; Tableau; JavaScript; HTML; CSS; AL

Job Type: Full-time

Work Location: In person

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