11 Oct
|
Inseego
|
Bengaluru
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
📌 Data Analytics Engineer (Bengaluru)
🏢 Inseego
📍 Bengaluru