Senior Data Infrastructure Specialist

2 weeks ago

Singapore beBeeDataEngineering Full time $150,000 - $200,000
Senior Specialist, Data Engineering

The Senior Specialist, Data Engineering role is a key position in our organization that focuses on designing, developing, and maintaining data pipelines to extract data from various sources and populate a data lake and data warehouse.

Key Responsibilities:

  • Design and develop data pipelines to extract data from various sources.
  • Maintain data pipelines to ensure high performance and scalability.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions aligned with business goals.
  • Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources.
  • Use data orchestration, logging, and monitoring tools to build resilient pipelines.
  • Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the platform.
  • Monitor, troubleshoot, and resolve issues related to the data integration platform.
  • Develop thorough documentation for integration processes, configurations, and code.
  • Establish, modify and maintain data structures and associated components.
  • Develop pipelines to ingest data into cloud data warehouses.
  • Participate in project planning, execution, and delivery.

Requirements:

  • Bachelors' degree in Information Technology, Computer Science or any Technology stream.
  • 10+ years of developing data pipelines & data infrastructure.
  • Demonstrated expertise in delivering large-scale information management technology solutions.
  • Experienced in software/data engineering practices.
  • Ability to design, build and unit test applications on Spark framework on Python.
  • Build PySpark based applications for both batch and streaming requirements.
  • Experience working with storage frameworks like Delta Lake/ Iceberg.
  • Experience working with MPP Datawarehouse's like Redshift.
  • Cloud-native, ideally AWS certified.
  • Strong working knowledge of at least one Reporting/Insight generation technology.
  • Good interpersonal and communication skills.
  • Proven record of delivering high-quality results.
  • Product and customer-centric approach.
  • Innovative thinking, experimental mindset.

Benefits:

  • Opportunity to work on complex projects.
  • Chance to collaborate with cross-functional teams.
  • Professional growth and development opportunities.

Additional Information:

  • The ideal candidate will have strong technical skills and experience in data engineering.
  • They will be able to communicate effectively and work collaboratively as part of a team.
  • Our organization values innovation and creativity, and we are looking for someone who shares these values.

Keyword: DataEngineering

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