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  

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

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

Our Client, A leading Finance company is looking to augment in their team with appropriate candidates with following skills. 

Job Description

1. 3-5 yrs of experience in Cognos 11.x,10.x
2. Good knowledge of SQL
3. Knowledge on creating reports(crosstab, list) in report studio
4. Hands on experience on Cognos framework manager
5. Hands on experience on Cognos Admin related activities    
6. Sound knowledge of data warehousing concept
7. Budget is just a numbers.

Location: Delhi NCR region. (Onsite)

Contract period: Min 6 months 

We are available over chat to address any queries.

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.