Principal Data Engineer-R01570250
At Brillio · Hyderabad, Andhra Pradesh, India
- Data and ML
- Staff or principal
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Where you’ll work
Hybrid, based in Hyderabad
“Hyderabad, Andhra Pradesh, India”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 1 September 2026
- First seen by us
- 3 November 2026
- Last checked
- 19 hours ago
Job description
From Brillio’s job post, as they wrote it.
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
Read the full description
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)
Principal Data Engineer-R01570250Brillio
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