Data Analytics Engineer at Inseego – Bengaluru | Jobyssey

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:

Data Analytics Engineer

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