Data Platform Engineer

 About The Role  



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 :Graph Databases



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, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture and platform functionality. Experience

Overall IT experience (No of years) - 4+

Design and Implementation of Graph based solution experience - 3+Key Responsibilities:

Develop scalable data pipelines to ingest, process, and expose graph data for analytical and operational use cases.

Contribute in data modeling for graph databases (e.g., Neo4j, TigerGraph, AWS Neptune) using RDBMS as source and optimize ingestion and the consumption query performance.

Create Graph Solution deliverables and getting sign-off
Technical Experience:Must Have

Skills:

4+ year overall IT experience with 3+ years in Graph based solutions

Proficiency with graph databases such as Neo4j, TigerGraph, AWS Neptune, or similar.

Strong knowledge of graph data modeling, query languages (e.g., Cypher, Gremlin, GSQL, SPARQL).

Solid experience building scalable ETL pipelines

Work Experience on data transformation and analytic projects.

Experience in at least one programming languages e.g. Python,Scala,SQL.Good to Have

Skills:

Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling

Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge.

Cloud Data Engineering, Cloud Data Integration

Must be familiar with Data Architecture Principles.Professional Experience:

Strong requirement analysis and technical solutioning skill in Data and Analytics

Excellent writing, communication and presentation skills.

Eagerness to learn new skills and develop self on an ongoing basis.

Good client facing and interpersonal skills
Educational Qualification:

B.E. or B.Tech. must

 Qualification 15 years full time education