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
Meet Daniela, a developer from Ecuador. 5 years in, she’s your go-to for Angular, React, and more.
- Angular
- HTML
- CSS
- React.js
- C++
Camila is a developer from Argentina, crafting digital solutions with 6 years of expertise.
- PHP
- CSS
- SQL
- APIs
- JavaScript
Valentina transforms code into seamless solutions. Your go-to for all things dev.
- PHP
- CSS
- JavaScript
- Node.js
- C#
Mariana's your go-to dev with 8 years in Java, Docker, Python, Kubernetes, and CSS.
- Java
- Docker
- Python
- Kubernetes
- CSS
Meet Benjamín, your go-to developer with 12 years of Vue.js, AWS, and SQL expertise.
- Vue.js
- TypeScript
- Node.js
- AWS
- SQL
Meet Miguel: A developer with 10 years of experience turning code into solutions.
- Ruby
- Data Visualization
- Python
- C++
- Docker
João is a skilled developer from Brazil, mastering Python, APIs, and SQL with flair.
- Python
- Machine Learning Basics
- CSS
- APIs
- SQL
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
Lupa's Proven Process
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.
Reviews
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
“We scaled our first tech team at record speed with Lupa. We couldn’t be happier with the service and the candidates we were sent.”
"Recruiting used to be a challenge, but Lupa transformed everything. Their professional, agile team delivers top-quality candidates, understands our needs, and provides exceptional personalized service. Highly recommended!"
“Lupa has become more than just a provider; it’s a true ally for Pirani in recruitment processes. The team is always available to support and deliver the best service. Additionally, I believe they offer highly competitive rates and service within the market.”
"Highly professional, patient with our changes, and always maintaining clear communication with candidates. We look forward to continuing to work with you on all our future roles."
“Lupa has been an exceptional partner this year, deeply committed to understanding our unique needs and staying flexible to support us. We're excited to continue our collaboration into 2025.”
"What I love about Lupa is their approach to sharing small, carefully selected batches of candidates. They focus on sending only the three most qualified individuals, which has already helped us successfully fill 7 roles.”
"We hired 2 of our key initial developers with Lupa. The consultation was very helpful, the candidates were great and the process has been super fluid. We're already planning to do our next batch of hiring with Lupa. 5 stars."
"Working with Lupa for LatAm hiring has been fantastic. They found us a highly skilled candidate at a better rate than our previous staffing company. The fit is perfect, and we’re excited to collaborate on more roles."
"We compared Lupa with another LatAm headhunter we found through Google, and Lupa delivered a far superior experience. Their consultative approach stood out, and the quality of their candidates was superior. I've hired through Lupa for both of my companies and look forward to building more of my LatAm team with their support."
“We’ve worked with Lupa on multiple roles, and they’ve delivered time and again. From sourcing an incredible Senior FullStack Developer to supporting our broader hiring needs, their team has been proactive, kind, and incredibly easy to work with. It really feels like we’ve gained a trusted partner in hiring.”
Working with Lupa was a great experience. We struggled to find software engineers with a specific skill set in the US, but Lupa helped us refine the role and articulate our needs. Their strategic approach made all the difference in finding the right person. Highly recommend!
Lupa goes beyond typical headhunters. They helped me craft the role, refine the interview process, and even navigate international payroll. I felt truly supported—and I’m thrilled with the person I hired. What stood out most was their responsiveness and the thoughtful, consultative approach they brought.
Aws Kinesis Developer Soft Skills
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
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.
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
Build elite teams in record time, full setup in 21 days or less.
Book a Free ConsultationWhy We Stand Out From Other Recruiting Firms
From search to hire, our process is designed to secure the perfect talent for your team
Local Expertise
Tap into our knowledge of the LatAm market to secure the best talent at competitive, local rates. We know where to look, who to hire, and how to meet your needs precisely.
Direct Control
Retain complete control over your hiring process. With our strategic insights, you’ll know exactly where to find top talent, who to hire, and what to offer for a perfect match.
Seamless Compliance
We manage contracts, tax laws, and labor regulations, offering a worry-free recruitment experience tailored to your business needs, free of hidden costs and surprises.
Lupa will help you hire top talent in Latin America.
Book a Free Consultation
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
