# Principal Data Engineer-R01570250 at Brillio

Principal Data Engineer-R01570250 at Brillio in Hyderabad, Andhra Pradesh, India. Hybrid. Posted September 1, 2026.

- Company: Brillio
- Location: Hyderabad, Andhra Pradesh, India
- Workplace: Hybrid
- Experience: 7+ years
- Posted: 2026-09-01
- Apply: https://jobs.lever.co/brillio-2/9c9dfbc6-5ded-44eb-b1c5-db7b70cb5cdf/apply
- Source: https://jobmagic.ai/jobs/principal-data-engineer-r01570250-brillio-y8haqs

## Requirements

- 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
- 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

## 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)