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Salary
≈ $25k – $52k per year (Estimated)
Location
Hybrid (Hyderabad, India)
Seniority
Principal · 7+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 1, 2026. Brillio scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Brillio is an American digital technology services company founded in 2014 that works on data engineering, cloud modernisation, customer experience platforms and applied artificial intelligence for large enterprises. Its clients are concentrated in banking and financial services, healthcare, technology and retail, and it positions itself around building and running digital products rather than the traditional labour-arbitrage outsourcing model. Headquartered in Edison, New Jersey with its largest delivery base in India, it is backed by Bain Capital and employs several thousand engineers across the United States, India, Mexico and Europe.

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)
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