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.

We need help with our inventory planning. More details to be shared. Interested partie please contact

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

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 BI Consultant:

• Rich experience on SAS BI Tools
• SAS Web Reporting Studio, SAS OLAP Cubes, SAS IMAP, SAS Management Console, SAS IDP, SAS AMO, SAS stored process
• Knowledge in SAS BASE
• Shell scripting, DML, DDL ,Data warehousing
• Design reports using SAS BI
• No of position-3
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

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