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.
SAS Analytics Consultant:
SAS BI Consultant:
Position: Support Engineer
Must Have Technical Skills: Azure Data Factory
Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls
Preferred Industry Experience: Manufacturing
Role:
Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.
Troubleshoot issues, provide workaround, determine root cause, upon failures.
Desired Qualification:
· 0-3 years of DE or batch support experience.
· Must be willing to work completely in the night shift.
· Ability to work on a task independently or with minimal supervision.
· Knowledge of Data Orchestration Tool, preferably ADF.
· Knowledge of sql or hive, python, pyspark, hdfs or adls.
· Work location: Remotely.
Nos of Resources required: 1 to 2
Work location: Remote
Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background
Experience: 0-3 Years
Mobilization Period in weeks: 1 week
Duration: 6 to 12 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.
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