Senior Data Specialist

Responsibilities

• Design, build, and maintain scalable data pipelines using AWS native services.
• Develop high-performance data processing applications using Spark and Scala.
• Build and optimize ETL/ELT frameworks for large-scale structured and unstructured datasets.
• Implement real-time streaming solutions using Amazon Kinesis.
• Design and manage data warehouses using Amazon Redshift.
• Perform data migration and modernization projects using AWS DMS and SCT.
• Implement Infrastructure as Code (IaC) using AWS CloudFormation.
• Optimize performance, scalability, reliability, and cost of AWS workloads.
• Collaborate with architects and business stakeholders to deliver cloud-native data solutions.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 7+ years of overall experience in Data Engineering and Cloud Data Platforms.
• Minimum 4+ years of hands-on AWS Data Engineering experience.
• Strong expertise in Spark-Scala development.
• Experience building enterprise-grade data lakes and data warehouses.
• Excellent SQL and performance tuning skills.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• AWS Certified Data Analytics – Specialty.
• AWS Certified Solutions Architect Associate/Professional.
• Experience with AWS Glue, Airflow, or Databricks.
• Exposure to CI/CD, DevOps, and Infrastructure Automation.
• Knowledge of data governance and security best practices.
• Experience with Docker, Kubernetes, or Machine Learning data pipelines.

About the Company

Brillio is a leading digital technology consulting and solutions company focused on delivering transformative outcomes for enterprises through cloud, data, AI, and digital engineering solutions.