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Inseego

Data Analytics Engineer

Bengaluru, India

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting
Apply at Inseego

What you’ll work on

Full posting

  • Build data pipelines into Microsoft Fabric (Lakehouse, Warehouse, Pipelines)

  • Extract data from Oracle NetSuite and Salesforce for analytics

  • Develop Power BI semantic models and reports using Direct Lake and DAX

  • Write SQL, Python and PySpark transformations on Delta Lake / OneLake storage

From the employer’s posting
Analytics Platform: Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2)
ERP Source: Oracle NetSuite (SuiteAnalytics Connect / REST API)
Visualization: Power BI (Direct Lake, semantic models, DAX)
Languages: SQL (T-SQL / Spark SQL), Python / PySpark, DAX

What you’ll bring

All qualifications

Core experience

  • Experience with Microsoft Fabric (OneLake, Lakehouse, Pipelines, Dataflows Gen2)
  • Proficiency in SQL (T-SQL / Spark SQL) and Python / PySpark
  • Power BI with DAX and semantic models

Preferred experience

  • Experience extracting data from Oracle NetSuite (ODBC, SuiteAnalytics Connect, REST API, or CSV exports)
  • 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)
  • Experience with Salesforce data extraction (Bulk API, Tableau CRM, or CRM Analytics)
Qualification wording
Direct experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Direct Lake)
Languages: SQL (T-SQL / Spark SQL), Python / PySpark, DAX
Visualization: Power BI (Direct Lake, semantic models, DAX)
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)

Tools in this posting

  • Python
  • SQL
  • Azure
  • dbt
  • Delta Lake
  • Oracle
  • Power BI
  • Spark
  • Tableau
  • PySpark
Source — Tool mentions in context
- 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)
- Integration Layer: Informatica / maybe move to Celigo(upstream data provider) - Languages: SQL (T-SQL / Spark SQL), Python / PySpark, DAX - Storage: Delta Lake / OneLake (Parquet)
- 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
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)
- Storage: Delta Lake / OneLake (Parquet) - Optional: dbt for transformation layer Preferred Qualifications :
- Storage: Delta Lake / OneLake (Parquet) - Optional: dbt for transformation layer Education:
- 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
- Languages: SQL (T-SQL / Spark SQL), Python / PySpark, DAX - Storage: Delta Lake / OneLake (Parquet) - Optional: dbt for transformation layer
- 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)
- Visualization: Power BI (Direct Lake, semantic models, DAX) - ERP Source: Oracle NetSuite (SuiteAnalytics Connect / REST API) - CRM Source: Salesforce (Bulk API / connected app)
- 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)
- 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

Posting record

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Status in our records
Live
First seen by us
Oct 11, 2026 · 19 days ago
Recorded sightings
15
Last seen by us
Oct 29, 2026
Employer says posted
Oct 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Inseego is a global leader in wireless broadband, delivering fast, reliable connectivity to homes, businesses, and people on the move. With the acquisition of Nokia’s FastMile fixed wireless access product, Inseego offers one of the industry’s broadest cellular broadband portfolios, spanning fixed wireless gateways, mobile hotspots and routers, enterprise and industrial gateways, and cloud-based device, network, and subscriber management software. Backed by decades of wireless engineering expertise across 5G, Wi-Fi, antenna design, and cloud software, Inseego partners with mobile network operators worldwide to deliver connectivity at scale. Headquartered in San Diego, California, Inseego has offices in Amsterdam, Bangalore, and Athens.


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
Source details

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Pay

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Location & working pattern

Bengaluru, India

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Open source at ats.rippling.com ↗Read the full description ↓

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