About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital renowned for its world-class professionals referred to as Brillians distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary groundbreaking technologies and exclusive digital projects. Brillios relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.
Senior Data Specialist
Primary Skills
- Must have: Python SQL/PLSQL AWS Postgresql S3 Glue
- Good to have: CDK GitHub
Job requirements
- Lead Data Engineer AWS (Data Lake Redshift Aurora Integration)
- Location: Chicago
- Experience: 812 years
- About the Role
- We are seeking a Lead Data Engineer to design and implement scalable secure and high-performance data platforms on AWS. The role focuses on building data pipelines managing data lakes and databases (Redshift Lake Formation Aurora) and exposing curated data for React-based dashboards and analytical applications.
- Key Responsibilities
- Data Engineering & Architecture
- Design build and optimize data pipelines using AWS Glue Lambda and Step Functions for ingestion transformation and curation.
- Develop and maintain data lakes (S3 Lake Formation) and data warehouses (Redshift) to support analytics and visualization.
- Integrate Aurora (PostgreSQL/MySQL) as a serving layer for APIs and dashboards.
- Design APIs or direct query interfaces that expose curated datasets for React-based dashboards and web applications.
- Define and implement data models partitioning strategies and schema evolution best practices for performance and scalability.
- Security Governance & Compliance
- Implement data security policies encryption and role-based access controls using AWS IAM KMS Lake Formation and Secrets Manager.
- Ensure compliance with organizational data governance and privacy standards.
- Maintain data cataloging lineage and access tracking within AWS Glue Data Catalog and Lake Formation.
- Implement CI/CD pipelines for data workflows in collaboration with DevOps teams.
- Required Skills & Qualifications
- 7 years of experience in data engineering and AWS data architecture.
Know what its like to work and grow at Brillio: Click here We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital renowned for its world-class professionals referred to as Brillians di...
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital renowned for its world-class professionals referred to as Brillians distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary groundbreaking technologies and exclusive digital projects. Brillios relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.
Senior Data Specialist
Primary Skills
- Must have: Python SQL/PLSQL AWS Postgresql S3 Glue
- Good to have: CDK GitHub
Job requirements
- Lead Data Engineer AWS (Data Lake Redshift Aurora Integration)
- Location: Chicago
- Experience: 812 years
- About the Role
- We are seeking a Lead Data Engineer to design and implement scalable secure and high-performance data platforms on AWS. The role focuses on building data pipelines managing data lakes and databases (Redshift Lake Formation Aurora) and exposing curated data for React-based dashboards and analytical applications.
- Key Responsibilities
- Data Engineering & Architecture
- Design build and optimize data pipelines using AWS Glue Lambda and Step Functions for ingestion transformation and curation.
- Develop and maintain data lakes (S3 Lake Formation) and data warehouses (Redshift) to support analytics and visualization.
- Integrate Aurora (PostgreSQL/MySQL) as a serving layer for APIs and dashboards.
- Design APIs or direct query interfaces that expose curated datasets for React-based dashboards and web applications.
- Define and implement data models partitioning strategies and schema evolution best practices for performance and scalability.
- Security Governance & Compliance
- Implement data security policies encryption and role-based access controls using AWS IAM KMS Lake Formation and Secrets Manager.
- Ensure compliance with organizational data governance and privacy standards.
- Maintain data cataloging lineage and access tracking within AWS Glue Data Catalog and Lake Formation.
- Implement CI/CD pipelines for data workflows in collaboration with DevOps teams.
- Required Skills & Qualifications
- 7 years of experience in data engineering and AWS data architecture.
Know what its like to work and grow at Brillio: Click here We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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