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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 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education Databricks Certification Must
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform architecture, ensuring that all components align with the overall blueprint. This role requires close collaboration with various architects to maintain seamless integration across systems and data models. The position demands active engagement in designing scalable and efficient data solutions that support organizational needs, while continuously coordinating with multiple teams to uphold the integrity and performance of the data platform infrastructure.
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 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education Databricks Certification Must
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform architecture, ensuring that all components align with the overall blueprint. This role requires close collaboration with various architects to maintain seamless integration across systems and data models. The position demands active engagement in designing scalable and efficient data solutions that support organizational needs, while continuously coordinating with multiple teams to uphold the integrity and performance of the data platform infrastructure.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the implementation of data platform enhancements to improve system efficiency and reliability.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to align data platform capabilities with business objectives.
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing scalable data pipelines and architectures.
- Strong knowledge of data integration techniques and best practices.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot complex data platform issues and optimize performance.
- Skilled in collaborating with cross-functional teams to deliver integrated data solutions.
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- This position is based at our BDC6F - SEZ location.
- A 15 years full time education and Databricks Certification Must.
More Info
Key Skills
Collaborating with cross-functional teams
Distributed computing frameworks
Data integration techniques
Designing and implementing scalable data pipelines
Cloud-based data platforms
About Company
Skills:
data engineering , Databricks, Data integration techniques and tools, Large-scale data processing frameworks, Data pipeline development and management, Data storage solutions, Cloud-based data platforms
Skills:
, Query Optimization, Data Platform Engineering, Data lifecycle management, Data lake environments, Real-time data processing systems, Indexing strategies, Large-scale distributed search and analytics platforms, High-volume ingestion pipelines, Data security controls, Distributed data storage architectures, Storage tiering, Distributed Systems Architecture, Cost Optimization
Skills:
Power Bi, Sap Bods, Data Warehousing, Sap Bw On Hana, Cloud Technologies, Devops, Data Governance, Sap Business Objects, SAP data integration technologies, analytics integration, enterprise reporting, Azure-based data platforms
Skills:
Database and SQL, Backend data engineering, Exchange feeds, Go, Broker APIs
Skills:
data engineering , Cloud security, Gcp, Data Modeling, Sql, Data Analysis, Logistics