Data Manager/Engineer - AI/ML

Job Description

An Opportunity to Work with One of India's Leading Credit Card Tech Innovators BOBCARD (A Bank of Baroda Subsidiary)

Educational Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, Information Technology, or a related field.

Experience Requirement: 5+ years

Applicants should possess the following attributes:

Technical Skills:

Should have knowledge database design and development skills in Non- Relational Databases, SQL /. PL SQL, Oracle/MS SQL/MySQL
Following GCP skillsets are necessary - BigQuery Storage, BigQuery ML, Cloud Data Fusion, Looker Studio Pro, Looker ML, DataStream
Google Cloud platform especially Big Query Dataflow Experience with Java and Python and Google Cloud SDK API Scripting
Experience in writing ETL/ELT
Good Knowledge of Data modelling, Dimensional Modelling and Data Visualisation
Proficient in SQL, Excel, Data Analytics, Data integration, Metadata Management
Experience in Implementing complete project on GCP -AI / ML
Experience Tableau / Power BI / Qlik Sense/ Looker Studio
Use the full breadth of capabilities within Google Looker Studio to develop dashboards, Visual components, data Reports and analytical tools
Proficiency in Oracle R, Python will be an added advantage
Presenting complex data in visually appealing and insightful ways to aid story- telling and communication
Strong knowledge of SDLC methodologies Agile/Scrum / Solid Principles
Good understanding of Database Design Concepts
Certification of Analytics with AI/ML would be an added advantage.

Role & Responsibilities

This position would include the mentioned set of responsibilities but not limited to:

The candidate should be self-motivated, multi-tasker, and demonstrated team-player.
Responsible for the managing the product development and maintenance in IT team of the organisation.
Must have worked with large-scale applications and frameworks
Learn and enhance own skillset and of team.
Stay up to date to latest technology.
Writing clean, high-quality, high-performance, maintainable code.
Coordinate cross-functionally to ensure project meets business objectives and compliance standards
Ensuring high performance of the application.
Develop, test, and deploy fast and scalable system
Designing and maintenance of fully functional applications and databases.
Timely deployment of web apps on the cloud and on-prim/monolithic.
Understanding of server management and cloud-based infrastructure.
Establishment and integration of development tools as required
Identification of application issues when deploying the apps
App deployment on the cloud along with solving debugging issues
Coding architecture for frontend and backend
Building interactive consumer data
Testing applications and fixing bugs, along with security and data protection features
Solve Technical Challenges
Cooperating with the back-end developer in the process of building the Cloud based Analytics platform
Develop and support Analytics Platform