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.
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- Collaborate with data engineers and data scientists to create and optimize ETL processes for data ingestion and transformation using AWS Glue and Lambda.
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- Implement data storage solutions using Amazon Redshift and other AWS data services, ensuring performance and cost-effectiveness.
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- Utilize AWS Kinesis andEMR to support real-time data processing and analytics.
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- Establish data governance protocols to ensure the quality, integrity, and security of our data assets.
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- Partner with stakeholders to understand their data needs and translate them into effective data solutions.
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nRequired Skills:

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- Bachelor's degreein Computer Science, Information Technology, or equivalent professional experience.
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- Demonstrated expertise as a Data Architect or in a similar role within a data engineering environment.
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- Strong analytical skills and the ability to solve complex problems systematically.
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- Ability to work collaboratively in a team-oriented setting.
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- Clear communication skills, with the ability to convey technical concepts to various audiences.
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nPreferred Skills:

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- Experience with DevOps practices to facilitate the deployment of data solutions.
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- Proficiency in AWS services, particularly AWS Glue, DBT, Airflow, Redshift, Kinesis, and EMR.
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- Familiarity with data governance frameworks and data integrity checks.
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- Solid understanding of ETL processes and best practices in data integration.
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- Knowledge of data modeling techniques, primarily Data Vault.
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📌 Hiring: Senior Data Engineer (Bengaluru)
🏢 R Systems
📍 Bengaluru