Data Engineer - (Max Budget SGD 9K)

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RAPSYS TECHNOLOGIES

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Job Description

🌟 We're Hiring: Data Engineer! 🌟

We are seeking a skilled Data Engineer to join our dynamic team in Singapore. The ideal candidate will have hands-on experience in data modeling, ETL processes, and database management. You will play a crucial role in building and optimizing our data pipelines to support business intelligence and analytics.

📍 Location: Singapore, Singapore
⏰ Work Mode: Work From Office
💼 Role: Data Engineer

Key Responsibilities:
  • Transform and clean data using SQL & Python in Databricks
  • Build dashboards using Power BI / Tableau
  • Ensure data quality and consistency
  • Collaborate with stakeholders to deliver insights
  • Create documentation for data workflows and dashboards
  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT processes using Databricks and Spark.
  • Spark Optimization: Tune and optimize Spark jobs and data transformations for performance.
  • Lakehouse Architecture: Implement data reliability, governance, and security using Delta Lake and Unity Catalog.
  • Workflow Orchestration: Automate data workflows using Databricks Workflows or tools such as Airflow.
  • Collaboration: Work with analysts and business stakeholders.

 Requirements:
  • Strong SQL and Python skills
  • Experience with dashboarding tools (Power BI/Tableau)
  • Familiarity with Databricks or big data platforms
  • Languages: PySpark, SQL.
  • Databricks Features: Delta Lake, Structured Streaming, Delta Live Tables (DLT).
  • Cloud Platforms: AWS, Azure, or GCP.
  • DevOps: Git, Terraform, CI/CD practices.
  • Tools: Databricks Notebooks, Databricks Repos.

Good to Have:
  • Spark / PySpark
  • Git, JIRA, or QA/testing experience



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