Senior Data Specialist PRIMARY SKILLS * Senior AWS Data Engineer Experience: 7 – 12 Years Location: Bangalore | Hyderabad | Pune | Chennai | Gurgaon Company: Brillio About Brillio 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. Role Overview We are looking for a highly skilled AWS Data Engineer with strong expertise in designing, developing, and maintaining large-scale cloud-native data platforms. The ideal candidate should have extensive experience with AWS data services, Spark-Scala, ETL development, real-time streaming, and data warehousing solutions. Required Technical Skills AWS Services * Athena * SNS * SQS * CloudWatch * Macie * Kinesis * CloudFormation * EMR * OpenSearch * DynamoDB * Amazon API Gateway * AWS SCT (Schema Conversion Tool) * Redshift * AWS DMS Data Engineering & Big Data * Apache Spark (Scala) * Oozie * ETL/ELT Development * Data Modeling * Batch & Real-Time Data Processing * Data Warehousing Concepts Programming * Scala * SQL * Python (Good to Have) Key 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. * Create and manage workflow orchestration using Oozie. * Implement Infrastructure as Code (IaC) using AWS CloudFormation. * Configure monitoring, logging, and alerting using CloudWatch. * Manage data security, governance, and compliance using AWS Macie. * Develop API-based integrations using Amazon API Gateway. * Optimize performance, scalability, reliability, and cost of AWS workloads. * Collaborate with architects, business stakeholders, and cross-functional engineering teams to deliver cloud-native data solutions. Required Qualifications * Bachelor's degree in Computer Science, Information Technology, Engineering, or 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. Good to Have * Docker/Kubernetes * Machine Learning data pipelines * Data Quality Frameworks * Data Catalog & Metadata Management * Event-driven architecture and streaming platforms   JOB REQUIREMENTS Senior AWS Data Specialist Experience: 7 – 12 Years Location: Bangalore | Hyderabad | Pune | Chennai | Gurgaon Company: Brillio About Brillio 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. Role Overview We are looking for a highly skilled AWS Data Engineer with strong expertise in designing, developing, and maintaining large-scale cloud-native data platforms. The ideal candidate should have extensive experience with AWS data services, Spark-Scala, ETL development, real-time streaming, and data warehousing solutions. Required Technical Skills AWS Services * Athena * SNS * SQS * CloudWatch * Macie * Kinesis * CloudFormation * EMR * OpenSearch * DynamoDB * Amazon API Gateway * AWS SCT (Schema Conversion Tool) * Redshift * AWS DMS Data Engineering & Big Data * Apache Spark (Scala) * Oozie * ETL/ELT Development * Data Modeling * Batch & Real-Time Data Processing * Data Warehousing Concepts Programming * Scala * SQL * Python (Good to Have) Key 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. * Create and manage workflow orchestration using Oozie. * Implement Infrastructure as Code (IaC) using AWS CloudFormation. * Configure monitoring, logging, and alerting using CloudWatch. * Manage data security, governance, and compliance using AWS Macie. * Develop API-based integrations using Amazon API Gateway. * Optimize performance, scalability, reliability, and cost of AWS workloads. * Collaborate with architects, business stakeholders, and cross-functional engineering teams to deliver cloud-native data solutions. Required Qualifications * Bachelor's degree in Computer Science, Information Technology, Engineering, or 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. Good to Have * Docker/Kubernetes * Machine Learning data pipelines * Data Quality Frameworks * Data Catalog & Metadata Management * Event-driven architecture and streaming platforms