Job DescriptionLocation – Bangalore (WFO)
NExperience – 6-9 Years
NKey Responsibilities:
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- Design, develop, and maintain scalable data architectures leveraging AWS services and data modeling techniques such as Data Vault. N
- Collaborate with data engineers and data scientists to create and optimize ETL processes for data ingestion and transformation using AWS Glue and Lambda. N
- Implement data storage solutions using Amazon Redshift and other AWS data services, ensuring performance and cost-effectiveness. N
- Utilize AWS Kinesis andEMR to support real-time data processing and analytics. N
- Establish data governance protocols to ensure the quality, integrity, and security of our data assets. N
- Partner with stakeholders to understand their data needs and translate them into effective data solutions. N

nRequired Skills:
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- Bachelor's degreein Computer Science, Information Technology, or equivalent professional experience. N




- Demonstrated expertise as a Data Architect or in a similar role within a data engineering environment. N
- Strong analytical skills and the ability to solve complex problems systematically. N
- Ability to work collaboratively in a team-oriented setting. N
- Clear communication skills, with the ability to convey technical concepts to various audiences. N

nPreferred Skills:
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- Experience with DevOps practices to facilitate the deployment of data solutions. N
- Proficiency in AWS services, particularly AWS Glue, DBT, Airflow, Redshift, Kinesis, and EMR. N
- Familiarity with data governance frameworks and data integrity checks. N
- Solid understanding of ETL processes and best practices in data integration. N
- Knowledge of data modeling techniques, primarily Data Vault. N

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