A
Data Platform Engineer
Job Description
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands a proactive approach to understanding the evolving data landscape and supporting the architecture that underpins efficient data flow and accessibility within the organization.
Roles & Responsibilities:
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands a proactive approach to understanding the evolving data landscape and supporting the architecture that underpins efficient data flow and accessibility within the organization.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate effectively with cross-functional teams to align data platform strategies with organizational goals.
- Continuously monitor and optimize data platform performance to support business needs.
- Document and communicate design decisions and integration approaches clearly to stakeholders.
- Support junior team members by sharing knowledge and providing guidance on data platform best practices.
- Must To Have Skills: Proficiency in Data Engineering.
- Strong experience with data integration techniques and data modeling concepts.
- Familiarity with cloud-based data platforms and distributed data processing frameworks.
- Ability to design scalable and maintainable data pipelines.
- Knowledge of database technologies and data storage solutions.
- Experience with automation and orchestration tools to streamline data workflows.
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our CDC2F - SEZ location.
- A 15 years full time education is required.
More Info
Key Skills
Automation and orchestration tools
Distributed data processing frameworks
Data integration techniques
Data modeling concepts
Data storage solutions
Cloud-based data platforms
About Company
Skills:
Spring Boot, Java Full Stack Development, microservices architecture, designing and implementing scalable data platform components, backend development principles, data modeling techniques, integration patterns
Skills:
data engineering , Query Optimization, Data Platform Engineering, Real-time data processing systems, Cost optimization strategies, Indexing strategies, Distributed Systems Architecture, Storage tiering, Distributed data storage architectures, Machine learning workflows, High-volume ingestion pipelines, Large-scale distributed search and analytics platforms, Security best practices in distributed data systems, Data lake environments, Data lifecycle management
Skills:
Database and SQL, Broker APIs, Backend data engineering, Exchange feeds, Go