SAS Analytics Consultant:
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
SAS Data Integration 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
We have two plant which we manufacture over 500 items. At both two plants operations run in 2 shifts. Both plant have capability to manufacture all 500 items, but the costs to manufacture is differnt at both plant.
Our senior mangement want to have dshboard that give visibiity:
1. What is made at which plant
2. Costs to manufacture item wise
3. Best production plan that will ensure products are made at the cheapest price
4. Ability to change the plan and see
Experts whi can help, please get in touch.