Primary Skills
- Athena, SNS, SQS, CloudWatch, Kinesis, Redshift
Job requirements
- Experience Range: 1 - 3 years of experience, with hands-on expertise in AWS data engineering tools and services Key Responsibilities: 1. Design and implement scalable data pipelines using AWS services such as Kinesis, Redshift, and Athena 2. Develop and optimize ETL processes to ensure efficient data ingestion, transformation, and loading 3. Configure and manage AWS messaging services including SNS and SQS to facilitate real-time data processing 4. Monitor and troubleshoot data workflows using AWS CloudWatch to maintain high system reliability 5. Collaborate with data analysts and stakeholders to define data requirements and deliver actionable insights 6. Ensure data security and compliance in all AWS-based solutions, adhering to best practices and organizational standards 7. Automate data processing tasks to improve operational efficiency and reduce manual intervention 8. Maintain documentation for data architectures, pipelines, and operational procedures Required Skills: 1. Advanced proficiency in AWS Athena 2. Hands-on experience with Amazon SNS 3. Expertise in Amazon SQS 4. Strong skills in AWS CloudWatch monitoring and alerting 5. Proven experience with AWS Kinesis for real-time data streaming 6. Deep knowledge of Amazon Redshift for data warehousing 7. Proficiency in designing and managing ETL pipelines on AWS 8. Ability to implement data security and compliance in AWS environments 9. Experience with AWS IAM for access control 10. Familiarity with AWS Lambda for serverless data processing Preferred Skills: 1. Experience with AWS Glue for data cataloging and ETL 2. Knowledge of AWS Data Lake architecture 3. Familiarity with Python or Scala for data engineering tasks 4. Understanding of Apache Spark on AWS 5. Experience with infrastructure-as-code tools such as AWS CloudFormation 6. Exposure to DevOps practices in cloud data engineering Desired Qualifications: 1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field 2. AWS Certified Data Analytics – Specialty or other relevant AWS certifications (preferred)
Skills Required
- 1 - 3 years of experience in AWS data engineering tools
- Advanced proficiency in AWS Athena
- Hands-on experience with Amazon SNS and SQS
- Strong skills in AWS CloudWatch monitoring and alerting
- Proven experience with AWS Kinesis and Redshift
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.









