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Data Engineer
Job Description
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Amazon Web Services (AWS)
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education AWS Neptune must have
Summary
As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate seamless data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing extract, transform, and load processes to migrate and deploy data effectively. Your work enables smooth data operations that support broader organizational goals and data-driven decision-making.
Roles & Responsibilities
AWS Neptune (or comparable graph DB , mainly RDF-based e.g. AnzoGraph, Apache Jena, GraphDB, Stardog, etc.) – design, deployment, tuning
Graph data modeling and ontology design (e.g. RDF/OWL, SKOS property graphs)
SPARQL
Python
Knowledge Graph / Graph RAG for AI use cases
Additional Information
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Amazon Web Services (AWS)
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education AWS Neptune must have
Summary
As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate seamless data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing extract, transform, and load processes to migrate and deploy data effectively. Your work enables smooth data operations that support broader organizational goals and data-driven decision-making.
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 with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to improve performance and reliability.
- Document data processes and maintain clear communication with stakeholders.
- Assist junior team members in understanding data engineering concepts and best practices.
AWS Neptune (or comparable graph DB , mainly RDF-based e.g. AnzoGraph, Apache Jena, GraphDB, Stardog, etc.) – design, deployment, tuning
Graph data modeling and ontology design (e.g. RDF/OWL, SKOS property graphs)
SPARQL
Python
Knowledge Graph / Graph RAG for AI use cases
Additional Information
- The candidate should have minimum 3 years of experience in Amazon Web Services (AWS).
- This position is based at our DDC5E - SEZ location.
- A 15 years full time education AWS Neptune must have is required.





