Location – Bangalore (WFO)
Experience – 6-9 Years

Key Responsibilities:
Design, develop, and maintain scalable data architectures leveraging AWS services and data modeling techniques such as Data Vault.
Collaborate with data engineers and data scientists to create and optimize ETL processes for data ingestion and transformation using AWS Glue and Lambda.
Implement data storage solutions using Amazon Redshift and other AWS data services, ensuring performance and cost-effectiveness.
Utilize AWS Kinesis and EMR to support real-time data processing and analytics.
Establish data governance protocols to ensure the quality, integrity, and security of our data assets.
Partner with stakeholders to understand their data needs and translate them into effective data solutions.
Required Skills:
Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience.




Demonstrated expertise as a Data Architect or in a similar role within a data engineering environment.
Strong analytical skills and the ability to solve complex problems systematically.
Ability to work collaboratively in a team-oriented setting.
Clear communication skills, with the ability to convey technical concepts to various audiences.
Preferred Skills:
Experience with DevOps practices to facilitate the deployment of data solutions.
Proficiency in AWS services, particularly AWS Glue, DBT, Airflow, Redshift, Kinesis, and EMR.
Familiarity with data governance frameworks and data integrity checks.
Solid understanding of ETL processes and best practices in data integration.
Knowledge of data modeling techniques, primarily Data Vault.

📌 Senior Data Engineer (Bengaluru)
🏢 R Systems
📍 Bengaluru