Data Engineer Analyst I

3 weeks ago

Shah Alam, Selangor, Malaysia PPG Industries (UK) Limited Full time

As a Data Engineer you will analyze raw data, developing and maintaining datasets and improving data quality and efficiency to support the business requirements. You will be reporting directly to IT Manager and you will be based at UOA Shah Alam.

Main Responsibilities

Data Engineering & Technical Skills

  • Implement and support technical solutions in the data lake (data ingestion, integration frameworks).
  • Collaborate with Senior Data Engineers to develop optimized data models, pipelines, and frameworks.
  • Create and manage data models for PBI reporting and analytics.
  • Troubleshoot and resolve data pipeline issues.
  • Work within strong governance and in an agile, global environment.
  • Proficient in SQL, Python, or Scala; familiar with data warehousing, and database systems (SQL/NoSQL).
  • Learn and apply best practices in data engineering and architecture.

Project Management & Interpersonal Skills

  • Assist in planning and coordinating data engineering projects.
  • Document data pipelines and processes.
  • Work with Data Analysts to gather requirements and align project goals.
  • Track and report on project progress and milestones.
  • Build and maintain relationships with Data Analysts and IT colleagues to meet customer service goals.
  • Share responsibility with the team for timely delivery and effective collaboration.
  • Communicate ideas clearly to colleagues with varying technical knowledge.
  • Mentor interns and stay open to learning new tools and practices.

Qualifications

  • Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
  • Minimum 2 - 4 years of experience that includes ETL/ELT workflow experience in design, configuration, data mapping, extraction, transformation and loading and writing high performing code and maintaining it.
  • Knowledge of programming languages such as Scala, Python, SQL.
  • Analytical and conceptual skills.
  • Strong oral and written communication skills, including technical writing.
  • Must have a strong systems and process orientation.
  • Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.
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