Senior Data Pipeline Architect

2 weeks ago


Singapore beBeeDataEngineer Full time $90,000 - $120,000
Unlock Your Data Engineering Potential

We are seeking a highly skilled and self-driven professional to design, develop, and maintain scalable data pipelines and architectures, enabling effective data management, analytics, and governance.

  • Design and develop efficient data pipelines using modern data engineering tools.
  • Build and manage data lakes, data warehouses, and data marts using Azure Data Services.
  • Integrate data from various sources including APIs, structured/unstructured files, IoT devices, and real-time streams.
  • Develop and optimize ETL/ELT workflows using tools such as Azure Data Factory, Databricks, and Apache Spark.
  • Implement real-time data ingestion and processing using Azure Stream Analytics, Event Hubs, or Kafka.
  • Ensure data quality, availability, and security across the entire data lifecycle.
  • Collaborate with analysts, data scientists, and engineering teams to deliver business-aligned data solutions.
  • Contribute to data governance efforts and ensure compliance with data privacy standards.

Requirements:

  • Bachelor's Degree in Computer Science, Engineering, or related field.
  • 3–5 years of experience in Azure-based data engineering, PySpark, and Big Data technologies.
  • Strong hands-on experience with Azure Synapse Analytics for pipeline orchestration and data handling.
  • Expertise in SQL, data warehousing, data marts, and ingestion using PySpark and Python.
  • Solid experience building and maintaining cloud-based ETL/ELT pipelines, especially with Azure Data Factory or Synapse.
  • Familiarity with cloud data environments such as Azure and optionally AWS.
  • Experience with Azure DevOps for CI/CD and artifact deployment.


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