Data Analytics Engineer

Inseego Corp Bengaluru, Karnataka, India

Telecommunications · 501-1,000 employees

4 d ago

Mid (2-5 yrs) Full-time India

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About the role

The Data Analytics Engineer will be responsible for extracting and integrating data from various sources including Oracle NetSuite, Salesforce, and HRIS systems. They will also develop and maintain data pipelines and transformation layers using Microsoft Fabric and SQL-based tools.

What they look for

Microsoft Fabric Power BI SQL Python PySpark Oracle NetSuite Salesforce Delta Lake Informatica Celigo DAX Data Pipelines Data Modeling ETL dbt

Requirements

Candidates must possess a bachelor's degree in Electronic and Communication or a related field and have direct experience with Microsoft Fabric and data extraction from ERP/CRM systems. Proficiency in SQL, Python, and data visualization tools like Power BI is required, with professional certifications being highly preferred.

Full 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