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
SAS Data Quality Consultant:
Visualization expert:
· Resources having 3-5 years of experience creating user interfaces using Power BI and R-Shiny
· Have basic Analytics concepts like Predictive modelling, Optimization and Simulation
· Knowledge of Python would be desirable
· Knowledge of Trade Promotion Optimization would be plus
· Excellent written and verbal communication.
· Good organizational skills.
· Ability to work as part of a team.
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Position: Azure Pyspark
Pyspark + with Data warehousing and Azure will be add on.
· Must have low level design and development skills. Should able to design a solution for a given use cases.
· Agile delivery- Person must able to show design and code on daily basis
· Must be an experienced PySpark developer and Scala coding. Primary skill is PySpark
· Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling
· Good experience with unit, integration and UAT support
· Able to design and code reusable components and functions
· Should able to review design, code & provide review comments with justification
· Zeal to learn new tool/technologies and adoption
· Good to have experience with Devops and CICD
Nos of Resources required: 1 to 2
Work location: Bangalore
Experience: 8 yrs – 9 yrs
Mobilization Period in weeks: 2 weeks
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
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