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. 

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.

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 need help with our inventory planning. More details to be shared. Interested partie please contact

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  

Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.