Data Analytics Engineer

Inseego Wireless, Inc.; Bengaluru; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Inseego Wireless, Inc. is seeking a data analytics professional in Bengaluru to drive data extraction, modeling, and reporting using Microsoft Fabric and Power BI. The role focuses on integrating ERP and CRM data sources, and building scalable data pipelines.

The ideal candidate will have strong SQL and Python skills, experience with Oracle NetSuite and Salesforce data, and familiarity with dbt and Delta Lake formats to enable robust analytics across the organization.

Qualifications

• Bachelor's degree in Electronic and Communication or related field.
• Strong knowledge of SQL and Python for data analysis.
• Experience with Microsoft Fabric and Power BI.
• Experience extracting data from ERP/CRM sources (Oracle NetSuite, Salesforce).
• Familiarity with data formats like Delta Lake/Parquet and dbt is a plus.

Skills

SQL (T-SQL / Spark SQL)

Python / PySpark

Power BI

Microsoft Fabric

Lakehouse concepts

Data integration

REST API / ODBC

Delta Lake / Parquet

Informatica

Celigo

Education

Bachelor in Electronic and Communication or related degree

Tools

dbt

Oracle NetSuite SuiteAnalytics Connect

Salesforce Bulk API

Power BI Direct Lake

Job description

About this position

Inseego is aglobal 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
• 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
• Optional: dbt for transformation layer

Education:

• Bachelor in Electronic and Communication or related degree