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  

We need to predict the demand for a particular category of merchandise. As of now we don't have a hang of how much to produce.

Power BI and Reporting:

1) Proficient in Building the PowerBI dashboards, SSAS Cubes and Data warehouse solutions, using Microsoft BI tools and with industry best practices.

2) Understand and deliver the business scenarios for improvement on the BI platform from a clients perspective

3) Manage interaction and expectation of client considering all the aspects of building long term sustainable solution

4) Can create amazing dashboard designs, SSAS models, data models on the database, suggest ETL data flow and collectively support team for developments

5) Should manage the onsite and offshore assignments

6) Good knowledge of data warehouse modeling

7) Report and support to management for day to day activities and deliveries

8) Maker-Checker approach to follow in the development

Experience:

• 2 to 3 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3 months. May get extended.

Joining:

• immediate

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.