Power BI and Reporting:
1) Proficient in Building the PowerBI dashboards, SSAS Cubes and Data warehouse solutions, using Microsoft BI tools and with industry best practices.
2) Understand and deliver the business scenarios for improvement on the BI platform from a clients perspective
3) Manage interaction and expectation of client considering all the aspects of building long term sustainable solution
4) Can create amazing dashboard designs, SSAS models, data models on the database, suggest ETL data flow and collectively support team for developments
5) Should manage the onsite and offshore assignments
6) Good knowledge of data warehouse modeling
7) Report and support to management for day to day activities and deliveries
8) Maker-Checker approach to follow in the development
Experience:
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Position: Azure Snowflake
Azure :-Hands on experience in ADF – Azure Data Factory
Nos of Resources required: 1 to 2
Work location: As of now Remote (Bangalore)
Experience: 5 yrs – 6 yrs
Mobilization Period in weeks: 2 weeks
Duration: 6 to 12 months
Position: NiFi /Big Data Developer
Must Have Technical Skills: NiFi
Good to have Technical Skills: Python, ETL
Preferred Industry Experience: Telecom
· Extensive experience on Nifi to setup data pipeline.
· Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi
· Extensive experience in Python
· Food understanding on Spark, Spark Streaming & PySpark.
· Good understanding of Big Data components
Nos of Resources required: 2 to 3
Work location: Remote
Qualification: BTech
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months
Background & Objective:
Our client is looking to create online education programs in the hospitality space and is looking to get a comprehensive ed-tech platform. The solution required has three parts:
1. Web Development
2. Mobile App Development
3. Learning Management System (LMS) Development
Requirements:
We invite bids from prospective partners who have capability to develop the solution comprising the above three modules. The prospective bidders are required to include the followng in their bids:
1. Functional Capabilties.
2. Technology Stack: We'll need details of what technology will be used for each of the three modules. For Mobile and Web App partners may suggest their recommendations, however, for LMS the preference is for Moodle to be used.
3. Timelines & Project Schedule
4. Support for Delivery
5. Costs: One Time and Post Production Support.
Please get in touch through chat should you need any more details.
SAS Analytics Consultant:
Data Scientist:
• Resources having 3-5 years of experience in Data Science building predictive models
• Having knowledge of Optimization and Simulation
• Good proficiency in R and Python
• Knowledge of Trade Promotion Optimization would be plus
Experience:
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Duration:
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