Data Analytics Engineer
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Before you apply
LocationBengaluru, India
Typefull-time
DepartmentIT
Company size201–500 people
First seenOct 16, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor in Electronic and Communication or related degree
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
Skills
Microsoft Fabric
Power BI
Oracle NetSuite
Salesforce
Rippling
Arena
Informatica
Celigo
SQL
T-SQL
Spark SQL
Python
PySpark
DAX
Delta Lake
Apache Parquet
dbt
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
About the company
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.