Data Engineer

Instructor
Talent Insider
6 November 2023
Jakarta, Jakarta Pusat

About the Company:

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description:

  • Design, Build And Implement Data Pipelines In A Cloud Environment (e.g., AWS, Azure, Google Cloud)
  • Collaborate With Cross-functional Teams To Gather And Understand Data Requirements.
  • Develop And Optimize ETL Processes To Ingest, Transform, And Load Data From Various Sources Into Our Data Lake Or Warehouse.
  • Ensure Data Quality And Consistency By Implementing Data Validation And Cleansing Processes.
  • Troubleshoot And Resolve Data-related Issues In A Timely Manner
  • Document Data Engineering Processes, Architecture, And Best Practices
  • Interfacing On-site Directly With Customers, Working With Clients’ Personnel And Our Consultants.
  • Stay Up To Date With The Latest Technologies And Best Practices In Data Engineering And Cloud Computing.

Job Requirements:

  • Graduated from a reputable University majoring in Information Technology, computer science or related fields.
  • 4 years working experience in IT systems / projects and involved in user requirement analysis, system analysis and system design including document preparation (such as functional specification, data mapping specification, etc.)
  • Proven experience as a Data Engineer with a focus on cloud implementation (AWS, Azure, or Google Cloud).
  • Strong proficiency in programming languages like Python, Java, or Scala.
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, AWS Step Functions).
  • Proficiency in SQL and data modeling concepts.
  • Familiarity with data warehousing and data lake solutions (e.g., Redshift, BigQuery, S3).

Skils: