Data Analytics Engineer

Inseego Corp; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Inseego Corp seeks a data analytics engineer to design and implement analytics solutions using Microsoft Fabric stack (OneLake, Lakehouse, Warehouse) and Power BI, integrating data from Oracle NetSuite, Salesforce, and HRIS sources. The role requires SQL/Python skills and experience with upstream data sources and transformation tools.

The candidate will work with ERP/CRM data, build semantic models, and optimize data pipelines for HR and product analytics.

Qualifications

• Microsoft Fabric certification (DP-600) 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 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.

Skills

Microsoft Fabric

Power BI

SQL

Python / PySpark

Delta Lake

dbt

Informatica

Salesforce data extraction

Education

Bachelor's degree in Electronic and Communications or related

Tools

Microsoft Fabric

OneLake

Lakehouse

Rest API

SuiteAnalytics Connect

Power BI

Oracle NetSuite

Salesforce

Informatica

Celigo

Job description

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