1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Job Description
As a Senior Data Engineer, you will play a key role in designing and implementing data solutions @Kotak811.
You will be responsible for leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams to deliver high-quality and scalable data infrastructure.
Your expertise in data architecture, performance optimization, and ...
10 Opening(s)
6.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 60.00 LPA
Job Role:
● Design and implementation of high-quality software from concept through to launch – taking ownership of design, coding, testing and deployment of key proprietary software components
● Apply engineering best-practices including unit, smoke and integration testing, source code version control, agile planning/estimation
● Effectively resolve ambiguity, analyze complex requirements, and break ...
150 Opening(s)
4.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
Job Description:-
Java with Banking/Payment domain. Strong experience in Core Java, SpringBoot, Microservices, KAFKA, Hazlecast Cache Mechanism, GRPC and Devops (Kubernetes/Jenkins). Exp – 4-14 Yrs Good to have hands-on exp. on Distributed Architecture Mechanism Worked in Agile Methodologies Good in written and spoken English
Education Qualification :- B.Tech/B.E , M.Tech
Working Location :- ...
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 ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 20.00 LPA
JOB DESCRIPTION of Java Full Stack Developer - Transformation
Job Title: AM II – DM I
Department: IT
Reports to: Assistant Vice President – IT
Experience:4 to 7 years
Required Qualification: BE/ B Tech/ MCA
Preferred Qualification: BE/ B Tech/ MCA
Skill, Knowledge &Trainings:
· Strong hands-on experience with Java; full stack development
· Designs, codes, tests, debug, automate deployment ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
0.00 LPA TO 0.00 LPA
Work Location : Dubai
Budget : AED 19,000 (Maximum)
Notice Period : Early joiners preferred (Maximum 30 days)
Job Description:
We are looking for a highly skilled and motivated Spark Data Engineer to join our team. The ideal candidate will ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
0.00 LPA TO 0.00 LPA
Job location: Onsite (Dubai) and Offshore
Notice Period: Immediate – maximum 30 days (Immediate joiners preferred)
Salary: AED 20,000
4 to 5 years of experience in software development using Java (Core Java, preferably microservices domain)
Good at software engineering SDLC process
Exposure to kafka backend with events processing experience
Exposure in using CI/CD
Exposure to any streaming ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 10.00 LPA
Job Description
We are seeking a best-in-class developer with experience in leading full stack Javadevelopment teams and a strong interest in building Machine Learningapplications, Model as a Service, MicroServices from scratch for Supply ChainAnalytic applications. The team is comprised of analytic professionals acrossbusiness analytics, data scientists, product managers, and software engineers, ...
2 Opening(s)
6.0 Year(s) To 12.0 Year(s)
23.00 LPA TO 33.00 LPA
10+ years of relevant experience in delivering web technologies. Must have prior experience leading development of consumer apps.
Experience with Java and J2EE
Experience with Spring / Spring Boot / Spring Cloud
Experience with RESTful Web Services, Postman, HTTP (POST/GET/PUT), JWT, OAuth, Swagger
Experience with React latest version and earlier
Experience with API Gateway technologies ...
5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
Tasks/Duties:
Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations.
Structure and design the data landscape of the organization.
Look further on the following topics:
Data availability: Connecting, moving, and generating datasets for consumption.
Transformation: Feature creation, data cleansing, re-expression.
Visualization: Exploratory data analysis, intuitive presentation of findings.
Dashboarding: Guiding ...