Principal Data Engineer-R01570250
brillio-2
Hyderabad, Andhra Pradesh, India
Posted Sep 1, 2026
- Full-time
- AI & Data Engineering
Job description
**Senior Tech Specialist, Applications & Platforms** ### Job requirements **Experience Range:** 7 to 10 years of experience in advanced AWS data engineering, including significant expertise in Master Data Management (MDM) with Stibo and designing large-scale data solutions **Key Responsibilities:** - Design and architect scalable data pipelines and solutions using AWS native services to support complex business requirements - Develop, implement, and optimize ETL processes leveraging AWS technologies such as EMR, Redshift, Athena, and DMS - Configure and manage real-time data streaming and ingestion frameworks utilizing Kinesis and Amazon API Gateway - Monitor, troubleshoot, and enhance data infrastructure performance using CloudWatch and Open Search - Automate deployment and infrastructure provisioning with CloudFormation and manage schema migrations using SCT - Lead the implementation and integration of Master Data Management (MDM) solutions using Stibo within enterprise data platforms - Collaborate with cross-functional teams to integrate data solutions with enterprise applications and analytics platforms - Ensure data security, quality, and compliance by implementing best practices and leveraging AWS security features - Lead technical reviews, mentor junior engineers, and drive adoption of emerging data technologies within the organization **Required Skills:** - Advanced proficiency in AWS services including SNS, SQS, Amazon API Gateway, Athena, CloudFormation, CloudWatch, DMS, DynamoDB, EMR, Kinesis, Open Search, Redshift, SCT - Expertise in designing and managing data pipelines and ETL workflows on AWS - Strong experience with Spark using Scala for large-scale data processing - Hands-on experience with Oozie workflow scheduling and orchestration - Deep knowledge of real-time data streaming with AWS Kinesis - Proven ability to configure and optimize Amazon Redshift for analytics workloads - Experience with DynamoDB for NoSQL database solutions - Ability to automate infrastructure and deployments using AWS CloudFormation - Proficient in monitoring and logging with AWS CloudWatch - Skill in managing data migration and schema transformation using AWS SCT and DMS - Demonstrated expertise in implementing and integrating MDM solutions using Stibo **Preferred Skills:** - Experience integrating AWS data solutions with third-party analytics and visualization tools - Proficiency in optimizing performance for large-scale distributed data systems - Knowledge of emerging AWS data services and staying current with industry best practices - Experience with Open Search for search and analytics use cases - Background in mentoring and leading engineering teams in cloud data projects - Familiarity with advanced data governance and data quality frameworks in MDM environments **Desired Qualifications:** - Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline - AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional - Certification in Apache Spark or relevant big data technologies (preferred)