Position: NiFi /Big Data Developer 

Must Have Technical Skills: NiFi

Good to have Technical Skills: Python, ETL

Preferred Industry Experience: Telecom

·         Extensive experience on Nifi to setup data pipeline.

·         Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi

·         Extensive experience in Python

·         Food understanding on Spark, Spark Streaming & PySpark.

·         Good understanding of Big Data components

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  

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  

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. 

Visualization expert:

·        Resources having 3-5 years of experience creating user interfaces using Power BI and R-Shiny

·        Have basic Analytics concepts like Predictive modelling, Optimization and Simulation

·        Knowledge of Python would be desirable

·        Knowledge of Trade Promotion Optimization would be plus

·        Excellent written and verbal communication.

·        Good organizational skills.

·        Ability to work as part of a team.

Experience:

• 3 to 5 years

Job location:

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

Duration:

• 3months. May get extended.

Joining:

• immediate

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. 

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