Data Analytics Engineer

Preferred Qualifications :

• Microsoft Fabric certification (DP-600 or equivalent) or Azure Data Engineer Associate (DP-203)
• Direct experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Direct Lake)
• Experience extracting data from Oracle NetSuite (ODBC, SuiteAnalytics Connect, REST API, or CSV exports)
• Experience with Salesforce data extraction (Bulk API, Tableau CRM, or CRM Analytics)
• Familiarity with dbt (data build tool) for SQL-based transformation layer
• Knowledge of Delta Lake / Apache Parquet file formats
• Experience with Informatica or Celigo as upstream integration/data sources
• Exposure to Rippling or Arena data structures for HR and product data analytics Technical Stack & Tools
• Analytics Platform: Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2)
• Visualization: Power BI (Direct Lake, semantic models, DAX)
• ERP Source: Oracle NetSuite (SuiteAnalytics Connect / REST API)
• CRM Source: Salesforce (Bulk API / connected app)
• HRIS Source: Rippling
• PLM Source: Arena • Integration Layer: Informatica / maybe move to Celigo(upstream data provider)
• Languages: SQL (T-SQL / Spark SQL), Python / PySpark, DAX
• Storage: Delta Lake / OneLake (Parquet)
• Optional: dbt for transformation layer

Preferred Qualifications :

• Microsoft Fabric certification (DP-600 or equivalent) or Azure Data Engineer Associate (DP-203)
• Direct experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Direct Lake)
• Experience extracting data from Oracle NetSuite (ODBC, SuiteAnalytics Connect, REST API, or CSV exports)
• Experience with Salesforce data extraction (Bulk API, Tableau CRM, or CRM Analytics)
• Familiarity with dbt (data build tool) for SQL-based transformation layer
• Knowledge of Delta Lake / Apache Parquet file formats
• Experience with Informatica or Celigo as upstream integration/data sources
• Exposure to Rippling or Arena data structures for HR and product data analytics

Technical Stack & Tools :

• Analytics Platform: Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2)
• Visualization: Power BI (Direct Lake, semantic models, DAX)
• ERP Source: Oracle NetSuite (SuiteAnalytics Connect / REST API)
• CRM Source: Salesforce (Bulk API / connected app)
• HRIS Source: Rippling
• PLM Source: Arena
• Integration Layer: Informatica / maybe move to Celigo(upstream data provider)
• Languages: SQL (T-SQL / Spark SQL), Python / PySpark, DAX
• Storage: Delta Lake / OneLake (Parquet)
• Optional: dbt for transformation layer

Education:

• Bachelor in Electronic and Communication or related degree