We need a proficient PySpark resource with good experience.

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

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

Background & Objective:

Our client is looking to create online education programs in the hospitality space and is looking to get a comprehensive ed-tech platform. The solution required has three parts:

1. Web Development

2. Mobile App Development

3. Learning Management System (LMS) Development

Requirements:

We invite bids from prospective partners who have capability to develop the solution comprising the above three modules. The prospective bidders are required to include the followng in their bids:

1. Functional Capabilties.

2. Technology Stack: We'll need details of what technology will be used for each of the three modules. For Mobile and Web App partners may suggest their recommendations, however, for LMS the preference is for Moodle to be used.

3. Timelines & Project Schedule

4. Support for Delivery

5. Costs: One Time and Post Production Support.

Please get in touch through chat should you need any more details.

Machine Learning Programmers:

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

Requirements

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Experience:

• 2 to 3 years

Job location:

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

Duration:

• 3 months. May get extended.

Joining:

• immediate

SAS Data Quality Consultant:

• Data Quality developer will be responsible for analyzing and understanding data sources and end-user requirements using the SAS DQ.
• Must be aware of Data Quality dimensions and their implementation in SAS DQ tool.
• No of Position-2
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR