Senior Data Engineer

1 week ago

Petaling Jaya, Selangor, Malaysia Elitez Pte Ltd Full time

Industry: Cloud & AI / Digital Transformation

Benefits:

  • 13th Month Bonus
  • Staff Insurance Provided

Key Responsibilities:

  • Pipeline Development: Design, build, and maintain batch and streaming data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Composer, Dataform, and Cloud Functions.
  • Data Modeling & Optimization: Implement and optimize data models in BigQuery to support analytics, BI reporting, and machine learning workloads.
  • Data Integration: Connect and transform data from multiple sources, including APIs, databases, event streams, and flat files.
  • Platform Reliability: Monitor and troubleshoot data pipelines, ensuring high availability, scalability, and cost efficiency.
  • Governance & Quality: Implement data validation, quality checks, and security best practices to ensure trusted data.
  • Collaboration: Work closely with analysts, BI developers (Tableau, MicroStrategy), and business teams to enable reporting and self-service analytics.
  • Legacy Support (Light): Provide occasional support for legacy systems (Oracle, MicroStrategy) where needed, focusing on data extraction and gradual modernization.

Key Requirements:

  • Experience: 4 – 8 years of hands-on experience in data engineering, ETL/ELT development, or related roles.
  • Technical Skills:

    ○ Strong SQL and Python skills for data transformation and automation.

    ○ Hands-on experience with GCP Data Stack (BigQuery, Dataflow, Composer, Dataproc, Dataform).

    ○ Familiarity with orchestration workflows (Airflow/Composer) and CI/CD for data pipelines.
  • Data Modeling: Understanding of relational, dimensional, and modern data modeling concepts, with an eye for performance optimization.
  • Cloud Knowledge: Exposure to Azure Data Stack (Synapse, Data Factory, Databricks) is a plus.

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