Hire Aws Kinesis Developers
Source skilled AWS Kinesis developers in Latin America. Save 70% on hiring, enjoy pre-vetted experts, and launch your remote team in just 21 days.














Hire Remote Aws Kinesis Developers


Camila is a developer from Argentina, crafting digital solutions with 6 years of expertise.
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Meet Sebastián, a developer with 11 years of expertise in Kotlin, Swift, AI, and more.
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Diego is a seasoned developer from Mexico, mastering Go, Node.js, React, and AWS.
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Mateo is a charismatic developer with 12 years of crafting code and building solutions.
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Nicolás is a charismatic developer crafting digital experiences with 5 years of expertise.
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Aws Kinesis Developer Skills
Real-Time Data Ingestion
Stream large-scale data from sources using Kinesis Data Streams and Firehose.
Stream Processing
Analyze and transform data in real-time using AWS Lambda or Kinesis Analytics.
Data Integration
Integrate with AWS services like S3, Redshift, and Elasticsearch for storage and analysis.
Shard Management
Configure and scale Kinesis shards to handle fluctuating data throughput.
Monitoring Streams
Track delivery metrics and failures using CloudWatch and Kinesis dashboards.
Security & Access
Implement IAM roles, encryption, and VPCs to secure streaming data.
Aws Kinesis Developer Soft Skilss
Attention to Detail
Ensure correct partitioning and event ordering for data integrity
Initiative
Propose scalable stream processing improvements for data flow
Resilience
Work through high-volume, fault-tolerant data delivery scenarios
Team Alignment
Collaborate with data engineers and analysts to meet pipeline goals
Adaptability
Switch quickly between stream design, analytics, and AWS services
Responsibility
Take ownership of stream uptime and compliance across services
How to Hire Aws Kinesis Developers with Lupa
Process real-time data at scale with AWS Kinesis experts. Lupa helps you scale efficiently with recruiting services tailored to cloud talent, staffing support for dynamic workloads, and custom RPO programs built for tech teams.
Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.
Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.
We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.
Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.
Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.
We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.
How to Write an Effective Job Post to Hire Aws Kinesis Developers
Recommended Titles
- Data Streaming Engineer
- Cloud Data Engineer
- AWS Developer
- Big Data Engineer
- Real-Time Data Developer
- Serverless Data Engineer
Role Overview
- Tech Stack: Proficient in AWS Kinesis, Lambda, Python, Java, and DynamoDB.
- Project Scope: Build real-time data pipelines; enable stream processing and analytics integration.
- Team Size: Join a data engineering team of 5–7 developers and analysts.
Role Requirements
- Years of Experience: At least 3 years in cloud data stream development.
- Core Skills: Deep understanding of real-time data ingestion, transformation, and cloud infrastructure.
- Must-Have Technologies: AWS Kinesis, Lambda, CloudWatch, DynamoDB, Python.
Role Benefits
- Salary Range: $90,000 – $195,000 annually, depending on cloud architecture experience.
- Remote Options: Fully remote with AWS-native development environments.
- Growth Opportunities: Involvement in real-time big data pipelines and streaming analytics platforms.
Do
- Specify competitive salary and AWS benefits
- List real-time data processing experience
- Share mission of data-driven decision-making
- Emphasize future in cloud-scale systems
- Use technical, growth-oriented messaging
Don't
- Don't treat Kinesis like general AWS roles.
- Avoid omitting stream processing expertise.
- Don’t skip real-time data project context.
- Don’t ignore scalability expectations.
- State the salary range transparently.
Top Aws Kinesis Developer Interview Questions
How to screen AWS Kinesis Developer skills
What experience do you have in setting up and configuring Kinesis data streams?
Listen for specific examples where the candidate has architected or implemented data streams. They should discuss the setup, partition key choices, and how they handled scaling and fault tolerance.
How have you used Kinesis Data Analytics to process real-time data?
Look for detailed explanations of how they've used SQL to analyze streaming data in real-time, any challenges faced, and how they tuned performance.
Can you discuss your experience with integrating Kinesis with other AWS services like Lambda or S3?
The candidate should be able to describe use cases and the mechanics of integration, such as triggering Lambda functions or archiving data in S3 for batch processing.
What have you done to optimize Kinesis stream performance and reduce latency?
Expect them to mention shard management, data serialization techniques, and how they monitor and troubleshoot latency issues.
Tell me about a complex problem you solved using AWS Kinesis.
Listen for a clear narrative outlining the problem, their solution using Kinesis, and the impact of that solution. Emphasize creativity and technical proficiency.
How do you approach diagnosing and resolving bottlenecks in Kinesis data streams?
Look for a candidate who demonstrates a methodical approach, prioritizes monitoring tools like CloudWatch, and considers factors like shard count, throughput, and resource allocation.
Can you describe a challenging issue you solved with Kinesis in a past project?
The candidate’s response should exhibit accountability and creativity. They should explain their process, highlight collaboration, and articulate the impact of their solution.
How would you handle unexpected data spikes in an AWS Kinesis stream?
The candidate should discuss scaling solutions such as increasing shard count or employing a buffering mechanism. Evaluate if they display quick thinking and adaptability.
What strategy would you use to debug data integrity issues in a Kinesis Data Firehose delivery stream?
Seek a response that includes steps like examining transformation stages, validating source data, and utilizing logging and error handling features.
How do you optimize the performance of Kinesis applications to ensure efficient data processing?
The candidate should focus on strategies such as optimizing batch size, parallel processing, and shard utilization to demonstrate an understanding of efficient design.
How do you approach communication in a team setting, especially when explaining complex technical topics like AWS Kinesis to non-technical stakeholders?
Look for candidates who can articulate complex ideas clearly and concisely, showing their ability to adapt their communication style to different audiences. They should demonstrate patience and empathy to ensure they are understood.
Describe a time you worked under pressure on a project involving AWS Kinesis. How did you manage deadlines and stress?
Candidates should provide examples of effective time management, prioritization skills, and maintaining composure under stress. A strong answer will include specific strategies they used to stay organized and focused.
What leadership qualities do you bring to a team working with AWS Kinesis, and how have you previously applied them?
Look for examples of proactive leadership, such as mentoring team members or taking the initiative to solve problems. Evidence of fostering a collaborative environment and supporting team growth is valuable.
Can you share an example of a successful team project involving AWS Kinesis? What was your role in ensuring team success?
The candidate should demonstrate their ability to work collaboratively, emphasizing teamwork, collaboration, and how their contributions positively impacted the project. Team alignment and goal achievement are key factors.
Describe how you handle feedback and criticism in a team environment, particularly during a challenging AWS Kinesis project.
Look for candidates who view feedback as a growth opportunity and react constructively. An ideal response will highlight an open-minded attitude, willingness to adapt, and the ability to use feedback to enhance performance.
- Poor Communication Skills
- Inability to Receive Feedback
- Lack of Problem-Solving Ability
- Consistently Missing Deadlines
- Unwillingness to Learn

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