Data Engineer

20 hours ago

Singapur, Singapore RAPSYS TECHNOLOGIES PTE LTD Full time

We\'re Hiring: Data Engineer We are seeking a skilled and experienced Data Engineer to design, build, and maintain robust data pipelines and infrastructure. The ideal candidate will have expertise in data processing, ETL workflows, and cloud technologies to support our data-driven initiatives and enable seamless data flow across the organization.

Location: Singapore, Singapore

Work Mode: Work From Office

Role: Data Engineer

Key Responsibilities
  • Collaborate across workstreams to support data requirements, including the development of reports and dashboards.
  • Analyze and perform data profiling to identify patterns, discrepancies, and improvements in line with Data Quality and Data Management processes.
  • Design and develop end-to-end (E2E) data pipelines: ingestion, transformation, processing, and surfacing of data for large-scale applications.
  • Automate data pipelines using Azure, AWS data platforms, Databricks, and Data Factory.
  • Translate business requirements into technical specifications for project design and delivery.
  • Perform data ingestion in batch and real-time via file transfer, APIs, data streaming (Kafka, Spark Streaming).
  • Develop ETL processes using Apache Spark to meet data transformation and standardization needs.
  • Build data exports, APIs, and visualizations using Power BI, Tableau, or other visualization tools.
  • Ensure alignment with best practices in data governance, security, and architecture.
Qualifications & Experience
  • Bachelor’s degree in Computer Science, Computer Engineering, IT, or related fields.
  • Minimum 4 years’ experience in Data Engineering.
  • Strong skills in:
    • Programming & Data Engineering: Python, SQL, Spark
    • Cloud & Data Platforms: Azure, AWS, Databricks, Data Factory
    • Architecture: Data/Solution Architecture, APIs
  • Data Visualization Skills: Power BI (preferred) or equivalent tools, DAX programming, data modeling, storytelling, and wireframe design.
  • Business Analyst Skills: Requirement analysis, data profiling, basic data model design, SQL programming, business knowledge.
  • Knowledge of Data Lake, Data Warehousing, Big Data tools, Apache Spark, RDBMS, NoSQL, and Knowledge Graphs.

Ready to make an impact? Apply now and let\'s build the future of data together

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Other
Industries
  • IT Services and IT Consulting

We are committed to equal opportunity employment. This job description is intended to describe the general responsibilities for the role and is not an exhaustive list of duties. (EEO statement or equivalent can be included here if required.)

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