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Important Dates
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Opening Date24 January 2024
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Closing Date07 February 2024
Age Limit
- Executive (Data Science) – 35 years
- Executive (Data Engineering) – 35 years
Education Qualification
- Executive (Data Science) –
- BE/B Tech in any discipline or MCA/PG Degree/Diploma in the area of Data Science/Data Analytics/Business Analytics/IT/CS from a recognised University/ Institution. Candidates having relevant OSIsoft PI certifications will be preferred.
Experience Requirement: Minimum 02 years of working experience in one or more of the areas related to MSSQL Server, Power BI, Python, R, SAP or OSISoft PI, data manipulation and analysis using libraries and frameworks like Pandas, NumPy, and Jupyter. Candidates with experience in machine learning and deep learning methodologies and development of AI/machine learning based models using appropriate algorithms will be preferred. - Executive (Data Engineering) –
- BE/B Tech/MCA from a recognized University/ Institution. Candidates having relevant OSIsoft PI certifications will be preferred.
Experience Requirement: Minimum 02 years of working experience in one or more of the areas related to Web report development using Dot NET development, with proficiency in C# and ASP.NET MVC, MS SQL Server, JavaScript, MS Power BI, DAX Query, Data Visualizations, Pivot, SSIS, SSAS. Experience in OSlsoft PI Vision, PI Datalink, PI AF, PI Event Frames, PI Notifications, PI RDBMS, Asset Framework including AF templates, data references, analysis and notifications. PI Development – understanding of PI architecture, Web API, AFSDK, Webservices, PI SDK Programming APIs etc. Experience in MSSQL, Oracle or any other RDBMS.
Application Fees
- Candidate belonging to General/EWS/OBC category is required to pay a non-refundable registration fee of Rs. 300/-.
- The SC/ST/PwBD/XSM category and female candidates need not pay the registration fee. The payment can be made either in online or offline mode.
Selection Process
- Short Listing
- Interview
Vacancy Details
- Executive (Data Science) – 02
- Executive (Data Engineering) – 02
Application Link