1 Opening(s)
3.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 30.00 LPA
Position : Senior Data Engineer
Location : Remote
Experience : 4 to 8 years
Notice Period : Immediate to 15 days
Required Skills - AWS Data services, Redshift, Lambda, Glue, S3, Athena, Kinesis, ETL, SQL, No SQL, Python/scala/java, Agile, CICD.
Job Description:
The Senior Data Engineer is responsible for data processing in the company Data Cloud . The candidate will ...
4 Opening(s)
7.5 Year(s) To 15.0 Year(s)
15.00 LPA TO 30.00 LPA
Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. ...
1 Opening(s)
7.0 Year(s) To 15.0 Year(s)
0.00 LPA TO 0.00 LPA
A Bachelor's or Master's degree in engineering, computer science, or a related field OR an equivalent combination of relevant training / work experience
7+ years of experience of relevant experience as Azure Data Engineer
Thorough knowledge of designing efficient and resilient data pipelines, ETL workflows, data warehousing and Big Data processing
Proficient in ...
1 Opening(s)
0 To 1.0 Year(s)
1.20 LPA TO 1.56 LPA
JOB DESCRIPTION:
19.03.23
HPS-2023/514
Quality Lab
Female
1
0 to 1
BSc Cipet/Diploma Cipet
Arrange and carry out experiments and tests as needed for data processing.
Collect and record test results through reports, often using graphs or charts to present the information.
Examine and verify that all tests and experiments meet the required specifications and follow correct procedures.
Responsibilities
Arrange and carry ...
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 ...
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, ...
3 Opening(s)
7.0 Year(s) To 8.0 Year(s)
1.00 LPA TO 24.00 LPA
Please find the details below
Position : Data Scientist
Location : Bangalore
Experience requirement : 7-8 Years
Joining Date : Immediate to 15 days
Job Description
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 maintainable solutions.
Research and stay ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Your Key Responsibilities:
• Collaborate with the global Emerging Technology & Analytics team colleagues in research projects pertaining to new business or client mandates involving sourcing, analysis, and reporting of data and insights tied to the concerned business objectives
• Deliver market and audience intelligence, including social and digital landscape analysis, ...
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 ...
2 Opening(s)
6.0 Year(s) To 10.0 Year(s)
17.00 LPA TO 20.00 LPA
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 maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices.
...