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.
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 Analytics Consultant:
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 Pyspark
Pyspark + with Data warehousing and Azure will be add on.
· Must have low level design and development skills. Should able to design a solution for a given use cases.
· Agile delivery- Person must able to show design and code on daily basis
· Must be an experienced PySpark developer and Scala coding. Primary skill is PySpark
· Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling
· Good experience with unit, integration and UAT support
· Able to design and code reusable components and functions
· Should able to review design, code & provide review comments with justification
· Zeal to learn new tool/technologies and adoption
· Good to have experience with Devops and CICD
Nos of Resources required: 1 to 2
Work location: Bangalore
Experience: 8 yrs – 9 yrs
Mobilization Period in weeks: 2 weeks
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