Data Analytics Engineer
Inseego Open At a glance
Mid-level Data Analysis & BI role at Inseego. Bengaluru · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build analytics pipelines in Microsoft Fabric using its lakehouse, warehouse, and dataflow components
- Bring NetSuite and Salesforce records into the analytics environment through their listed extraction methods
- Create Power BI semantic models and visualizations using Direct Lake and DAX
- Use SQL and Python or PySpark to shape data, with Delta Lake or Parquet storage
What you bring
- A bachelor's degree in electronic and communication or a related field
- Hands-on Microsoft Fabric experience, including its lakehouse, warehouse, pipelines, or dataflows
- Experience extracting data from NetSuite or Salesforce using an available connector or export method
Who this fits
This role suits someone who can build data pipelines and analytics models across finance, customer, HR, or product data. The stated education requirement is a bachelor's degree in electronic and communication or a related field.
From the employer
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
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