Data Engineer

4 days ago


Singapore WEB SYNERGIES (S) PTE LTD Full time
Roles & Responsibilities

Job Summary:

We are seeking a highly skilled Data Engineerwith expertise in Microsoft Fabric, Azure Data Services, and Big Data Technologies. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, ensuring efficient data processing, and enabling real-time analytics.

Key Responsibilities:

  • Microsoft Fabric Expertise:
    • Implement and integrate Microsoft Fabric solutions for advanced analytics, real-time data processing, and data governance.
    • Optimize data pipelines, enhance data visualization, and support collaborative data management across teams.
  • Data Engineering & Pipeline Development:
    • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (Spark), Snowflake, and Airflow.
    • Build and optimize data architectures for structured and unstructured data sources.
    • Ensure high performance, reliability, and security in data pipelines.
  • Data Governance & Security:
    • Implement data quality, metadata management, and data security best practices.
    • Work closely with compliance teams to meet regulatory and security requirements.
  • BI & Reporting:
    • Develop Power BI dashboards and reports for business intelligence.
    • Use Power Query, DAX, and SQL to optimize BI solutions.
  • Cloud & Big Data Technologies:
    • Work with Azure (Azure Data Lake, Synapse, CosmosDB) and AWS (S3, Athena, Glue) to manage large-scale data processing.
    • Deploy and monitor systems using cloud-native technologies.

Required Skills & Qualifications:

  • Microsoft Fabric experience (Integration, Data Pipelines, Analytics).
  • Strong expertise in Azure Data Factory, Databricks (PySpark, Spark SQL), Snowflake, and Power BI.
  • Hands-on experience with SQL, Python (Pandas, PySpark), and Airflow.
  • Experience with data governance, data security, and metadata management.
  • Certified in DP-500, DP-203, PL-300, PL-600, Databricks, AWS Data Analytics (preferred).
  • Excellent communication skills and ability to work in a cross-functional environment.
Tell employers what skills you have

PySpark
Factory
Business Intelligence
Pandas
Azure
Big Data
Pipelines
Data Management
Data Quality
Data Governance
Data Engineering
SQL
Python
Data Analytics
Power BI
Data Visualization
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