Senior Data Engineer

R Systems; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

R Systems in Bengaluru is seeking a seasoned Data Architect to design, develop, and maintain scalable data architectures leveraging AWS services and Data Vault modeling. You will collaborate with data engineers and data scientists to create and optimize ETL processes using AWS Glue and Lambda, and implement storage with Amazon Redshift for performance and cost efficiency.

Additionally, establish data governance protocols to ensure data quality, integrity, and security, and partner with

Qualifications

• Bachelor's degree or equivalent professional experience.
• Experience as a Data Architect or in a similar data engineering role.
• Strong analytical abilities and systematic problem-solving.
• Ability to work collaboratively in a team.
• Clear communication of complex concepts.

Responsibilities

• Design, develop, and maintain scalable data architectures using AWS and Data Vault.
• Collaborate to create and optimize ETL processes using AWS Glue and Lambda.
• Implement data storage with Amazon Redshift for performance and cost efficiency.
• Utilize AWS Kinesis and EMR for real-time processing and analytics.
• Establish data governance to ensure quality, integrity, and security.
• Partner with stakeholders to translate data needs into effective solutions.

Skills

Data Architecture

AWS

ETL

Data Vault

Data Modeling

Analytical Skills

Collaboration

Communication

Education

Bachelor's degree in CS/IT or equivalent

Tools

AWS Glue

AWS Lambda

Amazon Redshift

AWS Kinesis

EMR

DBT

Airflow

Job description

• 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 environment.
• 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.