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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.
Our Client, A leading Finance company is looking to augment in their team with appropriate candidates with following skills.
Job Description
Location: Delhi NCR region. (Onsite)
Contract period: Min 6 months
We are available over chat to address any queries.
We are looking at augmenting our team with an ML Engineer. We are a retail house and need an ML Engineer to train for our upcoming e commerce venture.
Full-Stack Developer
Nos of Resources required: 7 to 8
Work location: As of now Remote (Bangalore/Mumbai)
Qualification: BTech
Experience: 4 yrs – 8 yrs
Mobilization Period in weeks: 1 week
Duration: 6 to 12 months
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: 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