5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
30.00 LPA TO 35.00 LPA
Your responsibility as a Lead MYSQL database administrator (DBA) will be the performance, integrity and security of a database. You'll be involved in the planning and development of the database, as well as in troubleshooting any issues on behalf of the users.
Requirement:
- He/She/They should have 6 to 8 Years Experience.
- ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
30.00 LPA TO 35.00 LPA
Skill & Abilities: Personal CharacteristicsStrong portfolio and excellent attitude.Must be self-confident to work in a Team and tohandle the responsibilities individually as wellShould be a good listener/ Can articulate well /Good Communication SkillsAbility to work with teams across organizationalboundaries, different cultures and different timezones in a virtual environmentDelivery oriented and ...
4 Opening(s)
3.0 Year(s) To 5.0 Year(s)
25.00 LPA TO 30.00 LPA
Requirements:
He/She/They should have 3 to 5 years of experience in DevOps Engineering
Hands on Experience in any of BD (Hadoop, Kafka, EMRs, Ranger, Spark, Hive, Starburst, Looker, TigerGraph, Neo4j) will be a big plus
Strong practical knowledge of managing AWS Infrastructure specially EC2, Load Balancers, Cloud Front, Elastic Cache, EBS, S3, IAM, ...
5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
35.00 LPA TO 38.00 LPA
About the role: Must have the ability work with Architecture governance, DevOps and Engineering teams to set up the CICD pipeline. Must be hands-on to implement the changes to the pipeline and operationally manage the same.
Expectations/ Requirements
● Education qualification: BE/ B.tech/ MCA/ M.tech.
● 6+ years of overall experience.
● 3+ years of relevant experience in Devops.
● Should ...
1 Opening(s)
13.0 Year(s) To 17.0 Year(s)
80.00 LPA TO 90.00 LPA
Requirements: 12 to 15 years of experience in developing platforms in the Data engineering space. Minimum of 4-5 years of experience in managing Data Engineering teams. Hands-on experience with SQL, ETL pipelines, Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
25.00 LPA TO 30.00 LPA
Requirements:
He/She/They should have 3 to 5 years of experience in DevOps Engineering
Hands on Experience in any of BD (Hadoop, Kafka, EMRs, Ranger, Spark, Hive, Starburst, Looker, TigerGraph, Neo4j) will be a big plus
Strong practical knowledge of managing AWS Infrastructure specially EC2, Load Balancers, Cloud Front, Elastic Cache, EBS, S3, IAM, ...
1 Opening(s)
13.0 Year(s) To 17.0 Year(s)
75.00 LPA TO 120.00 LPA
About the role:
As an Director, you will be developing the detailed design structure, implementing the best practices and coding standards, leading a team of developers for successful delivery of the project. You will be working on design, architecture and hands-on coding.
Requirements:
13- 16 years in Technical development with 6+ years in ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Purpose: The Data Protection and Privacy Specialist will be instrumental in ensuring the organization's compliance with the Personal Data Protection Law (PDPL) and other relevant data protection regulations. The Specialist will be responsible for conducting reviews/assessments, developing and implementing privacy training programs, developing policies/procedures, managing data subject rights, conducting data ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 9.00 LPA
REQUIREMENTS: • Proficient in PHP and the Laravel framework. • Minimum of [2–5] years of experience in Laravel and PHP development. • Strong understanding of OOP, MVC architecture, and design patterns. • Knowledge of database design, query optimization, and tools like MySQL/PostgreSQL. • Familiarity with RESTful APIs, authentication (OAuth2, JWT), ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...