5 Opening(s)
7.0 Year(s) To 12.0 Year(s)
14.00 LPA TO 24.00 LPA
Hello ,
Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.
About company- Company is an adept and reliable technology solutions provider focusing on Enterprise Digital Transformation for Software and Service Innovations and Business Process Management applications. Since our ...
2 Opening(s)
3.0 Year(s) To 9.0 Year(s)
1.00 LPA TO 25.00 LPA
Please find the details below
Position : Data Scientist
Location : Work from home
Experience requirement : 3+ Years
Joining Date : Immediate to 30 days
Job Description
We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a critical role in analysing complex data sets, developing cutting-edge ...
5 Opening(s)
6.0 Year(s) To 14.0 Year(s)
7.00 LPA TO 23.00 LPA
Hello ,
Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.
About company- global consulting company offering solutions, services and platforms on Open Source, Cloud and Automation technologies. Since 2000, the company has been delivering enterprise class solutions, which ...
2 Opening(s)
4.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
SKILL TITLEData Scientist
KEY SKILLS ( MANDATORY)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and tensor flow as mandatory
JOB DESCRIPTION (DETAILED)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 50.00 LPA
Key Responsibilities
Design, construct, install, test, and maintain highly scalable and robust data management systems.
Understand and apply data warehousing concepts to design and implement robust data warehouse tables in line with business requirements.
Build complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as: Oracle ERP, ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 15.00 LPA
Qualification
Bachelor?s degree in Computer Science, Data Science,Mathematics, or related technical field.
Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.
Responsibilities
Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy.
Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and ...
5 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Data Engineer
Job Description: - Having experience in Analysis, Design, Development, Testing, Customisation, Bug fixes, Enhancement, Support and Implementation using Python, spark programming. - Worked on AWS environments such as lambda, server-less applications, EMR, Athena, Glue, IAM policies, roles, S3,CFT and Ec2. - Developed Python and Pyspark programs for data analysis. ...
6 Opening(s)
3.5 Year(s) To 5.4 Year(s)
12.00 LPA TO 16.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
0.00 LPA TO 0.00 LPA
Key Responsibilities:? Design, construct, install, test, and maintain highly scalable and robust data managementsystems.? Understand and apply data warehousing concepts to design and implement robust datawarehouse tables in line with business requirements.? Build complex ETL/ELT processes for large-scale data migration and transformation acrossplatforms and Enterprise systems such as: Oracle ERP, ...
1 Opening(s)
9.0 Year(s) To 11.0 Year(s)
28.00 LPA TO 32.00 LPA
Notice period
Immediate to 15 days
Shift
1 pm to 9 PM
Mode of Work
Hybrid
Mandatory Skill combination: Mandatory skill Kafka, Multiple Kafka connector, Streaming Data processing.
In some cases, Databricks and PySpark knowledge is required.
JD:
Hands-on experience working on Kafka connect using schema registry in a very high-volume environment.
Complete understanding of Kafka config properties (acks, timeouts, buffering, ...