Data Engineer - Power BI - PowerBI,Snowflake - Chennai, 2.00 - 3.00 yrs | Sampoorna (J50849)

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Job Summary


Experience:

2.00 - 3.00  Years 

Industrial Type:

IT-Software/Software Services

Location:

Chennai

Functional Area:

IT Software - Application Programming / Maintenance

Designation:

Data Engineer - Power BI

Key Skills:

PowerBI,Snowflake

Educational Level:

Graduate/Bachelors

Job Post Date:

Stream of Study:

Computer Science/IT

Degree:

BCA

Company Description


For years, the transportation industry used technology that wasn`t designed with the future in mind. This limited fleets and drivers to proprietary systems, creating obstacles for innovating the optimal driver experience.
Since launching in 2015, they have spent thousands of hours working with fleets to make transportation smart. From the back office to the driver`s seat, they provide solutions at every level to help fleets future-proof their operations.
Since 2015, our client has connected fleets across the nation with the tools they need to take control of their technology. As part of their ongoing mission to transform transportation, they have made it easy for fleets to develop, deploy, and manage their commercial vehicles’ mobile devices and applications on a single platform.?
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Through their partnerships with industry leaders at every stage of ?the supply chain, they empower fleets with endless opportunities to innovate and create solutions that evolve as their businesses grow.

Job Description


Job Summary - Data Engineer - PowerBI, Data Analytics & Snowflake
Target Capabilities and Skills:
? 1-3 years of experience in the below skills
? Programming Language: Python
? BI Reporting: PowerBI (certification)
? Power BI Desktop
? Power BI Embedded
? DAX
? Star Schema / Dimensional Modelling
? Row-Level Security (RLS)
? Report & Dashboard Development
Data & SQL Skills
? Strong SQL
? Relational Database Concepts
? Snowflake / Cloud Data Warehouses
? Data Extraction & Transformation
? ETL / ELT concepts
? Data Quality & Validation
? Query Optimization
? Large-scale Dataset Handling
? Incremental Refresh
? Import vs DirectQuery
? Composite Models
? Dataflows

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