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Inseego Corp

Data Analytics Engineer

Location
Bengaluru, India
Workplace
On-site
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About this role

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

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