Devices Engineering Services team is building enterprise scale data processing and management solution to utilize the hardware development engineering data for better productivity ,insights and quality with an intention to reduce the product development time and improve the product quality.

We are looking for data engineer with hardware development industry experience to convert the product development and testing telemetry to insights.

8+ years' experience in building tools and custom visualization on Pyhton Analystics,R,SQLAzure,Azure Data Bricks,Scope,Scala,

5+ years' experience in ETL : SSIS, SSAS, ADF, Azure Synapse

2+ yeas extensive working experience in visualization : PowerBI & PowerBI Server, R-plots

Working experience in data engineering projects in Hardware development is a plus.

1. Data Visualization: This role requires visualization experience beyond the standard Tableau and Power BI visuals. Need experience in using R or Python in rendering up to millions of data points in a custom visual.

2. Knowledge of Azure Stack : This role needs an azure expert in technologies like Synapse, Azure SQL, RunBooks, Logic Apps, Data Lake V1 and V2 (they should know the difference), Databricks, etc. Understanding structured and unstructured ETL and what serving data from either looks like is important.
3. Architecture Design: This role requires someone very comfortable and experience in working with an empty canvas from a design standpoint with the only boundary being azure cloud tech is preferred. This role needs to consider all the tools that could be used and narrow down to a design that best meets the conflicting tradeoffs that often come up for enterprise level designs. This role would be responsible to uncover, vet, and optimize to these tradeoffs.