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: 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
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
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Position: PySpark Developer
Must Have Technical Skills: PySpark
Good to have Technical Skills: Spark, DWH
· Hand on experience in Pyspark and Numpy, List, Pandas, Graph plotter.
· Excellent knowledge of Python framework and Airflow/Luigi/Dagster/Apache Beam.
· Python skills with all sorts of data libraries, visualization libraries,
· Good SQL knowledge.
· Ability to perform multiple task in continually changing environment.
· Exposure on Hive/HBase/Redis.
· Good knowledge of Data warehousing.
· Reading from Parquet and other format.
· Worked on Hive and HBase.
Nos of Resources required: 3 to 4
Work location: Remote
Qualification: BTech
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months
We need to predict the demand for a particular category of merchandise. As of now we don't have a hang of how much to produce.
Tableau Developers:
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