Chief Data Pipeline Architect

7 days ago


Singapore beBeeDataEngineer Full time $80,000 - $120,000
Key Data Engineer Responsibilities

The role of the Data Engineer is pivotal in designing, developing and maintaining large-scale data pipelines using cutting-edge tools like Databricks, PySpark, Delta Lake and more. This position requires strong expertise in ETL/ELT development, cloud data platforms (AWS, Azure, GCP) and their native data services.

Primary Responsibilities:
  • Design and develop robust data pipelines for ingestion, transformation and delivery across structured and unstructured datasets.
  • Collaborate with cross-functional teams including data scientists and analysts to enable seamless machine learning and AI workflows on Databricks.
  • Optimize data lakehouse performance through caching, partitioning, indexing strategies and more.
  • Integrate Databricks with enterprise systems, cloud data platforms and BI tools.
  • Implement data governance, quality and security standards within the Databricks environment.
  • Monitor, troubleshoot and improve Databricks jobs, clusters and workflows.
Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering or related field.
  • 3-5 years of experience in data engineering, ETL/ELT development or big data platforms.
  • Hands-on expertise with Databricks, PySpark, Delta Lake and SQL.
  • Strong proficiency in working with large datasets in cloud data warehouses.
  • Experience with cloud platforms (AWS, Azure, GCP) and their native data services.
  • Knowledge of data governance, data quality and security principles.
  • Familiarity with CI/CD, Git and Infrastructure-as-Code (Terraform, ARM, CloudFormation).
Skills Highlighted by the Candidate:

Machine Learning, Git, PySpark, Azure, Big Data, Pipelines, ARM, AWS, Hadoop, ETL, Data Quality, Databricks, Data Governance, Data Engineering, SQL, Python, GCP, Databases



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