Hire an ideal data scientist for your project
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Related Work
Fixed Price - Est. Time: 3 months,

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
Fixed Price - Est. Time: 3 months,

Data Scientist:

• Resources having 3-5 years of experience in Data Science building predictive models
• Having knowledge of Optimization and Simulation
• Good proficiency in R and Python
• Knowledge of Trade Promotion Optimization would be plus

Experience:

  • 3 to 5 years

Job location:

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

Duration:

  • 3 months. May get extended.

Joining:

  • immediate
Fixed Price - Est. Time: 3 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.

Fixed Price - Est. Time: 12 months,

AWS Developer

  • Should have strong knowledge of AWS Cloud libraries
  • Proficiency in developing, deploying, and debugging cloud-based applications using AWS Services - EC2, ECS, EKS, Lambda, DynamoDB, SQS, Cognito, CloudFormation
  • Knowledge on Java, Spring boot, Spring Integration, Node JS
  • Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
  • Ability to use a CI/CD pipeline to deploy applications on AWS
  • Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
  • Hands-on experience working in an agile/iterative development environment
  • Develop and deploy AWS cloud-based solutions, services, and interfaces
  • Participate in all phases of software engineering including; requirements, design, coding and testing.
  • Design and implement product features in collaboration with product managers and stakeholder.
  • Design reusable components, frameworks and libraries or micro-services
  • Participate in an Agile/Scrum methodology to deliver high-quality software releases every 2 weeks

Nos of Resources required: 5 to 6

Work location: Remote (Bangalore/Mumbai)

Qualification: BTech

Experience: 4 yrs – 8 yrs

Mobilization Period in weeks: 2 week

Duration: 6 to 12 months  

Fixed Price - Est. Time: 12 months,

SAS Data Integration Consultant:

  • Graduate or Post graduate in Engineering or a Post graduate in non-engineering disciplines
  • Certification in Base SAS/ Advanced SAS will be an added advantage
  • SAS Base
  • SAS DI
  • Good basic knowledge in Base and Advance SAS
  • No of position-3
  • Role & Responsibilities - Dev and Testing Skills
  • Experience - 3-6 years of experience
  • Location – Delhi NCR
Fixed Price - Est. Time: 6 months,

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