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.
Experience:
Job location:
Duration:
Joining:
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: 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
Looking for visual representation of our analytics of past 3 years to understand the customer behaviour. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report.
SAS Data Quality Consultant:
Position: Hadoop Admin
Must Have Technical Skills: Hadoop Admin
Good to have Technical Skills: Linux Admin, ETL
· Extensive experience with RedHat Linux and Cloudera is mandatory.
· Experience in installing, configuring, upgrading and managing Hadoop environment.
· Responsible for deployments, and monitor for capacity, performance, and/or troubleshooting issues.
· Work closely with data scientists and data engineers to ensure the smooth operation of the platform.
· End-to-end performance tuning of the clusters.
· Maintains and administers computing environments including computer hardware, systems software, applications software, and all configurations.
· Defines procedures for monitoring and evaluates, diagnoses and establishes work plan to resolve system issues.
· Working knowledge of entire Hadoop ecosystem like HDFS, Hive, Yarn, Oozie, Kafka, Impala, Hive, Kudu, HBase, Spark and Spark Streaming.
· Knowledge of Private and Public cloud computing and virtualization platform.
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