Brillio
Response target Not provided by employer
Principal Data Engineer-R01570250
- Category
- AI & Data Engineering
- Required Skills
- See official employer job description
- Experience
- Mid
- Openings
- 1
- Apply by
- November 28, 2026
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- Numeric salary range: Not disclosed — confirm before proceeding
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Check my fit & prepare →Senior Tech Specialist, Applications & Platforms
Job 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
- 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
- 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
- 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)
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:
Required Skills:
Preferred Skills:
Desired Qualifications:
Candidate Skill Fit Analysis
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Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
Monthly In-Hand
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Annual Take-Home
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Standard Deduction: ₹75,000 / yr
Employee PF (EPF): ₹-- / mo
Estimated Income Tax: ₹-- / mo
Platform listing reference
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