AWS Data Engineer

• 3+ years of hands-on experience in cloud and infrastructure(preferably AWS).● Data Governance & Security:
• Expertise in AWS services such as EMR, Batch, SageMaker, Glue, Lambda,IAM, IoT TimeStream, DynamoDB, and more.
• Strong programming skills in Python for scripting and automation.
• Proficiency in SQL and performance tuning for data pipelines and queries.
• Experience with IaC tools like Terraform or CloudFormation.
• Knowledge of big data frameworks such as Apache Spark, Hadoop, or similar.
• Data Governance & Security:
• Knowledge of big data frameworks such as Apache Spark, Hadoop, or similar.● Data Governance & Security:
• Proven ability to design and implement secure solutions, with strong knowledgeof IAM policies and compliance standards.
• Proven ability to design and implement secure solutions, with strong knowledgeof IAM policies and compliance standards.
• Problem-Solving:
• Analytical and problem-solving mindset to resolve complex technical challenges.● Collaboration:
• Exceptional communication skills to engage with technical and non-technicalstakeholders.

Ability to lead cross-functional teams and provide mentorship.

‍
Education:

• Bachelor’s Degree (BA/BS) in Computer Science, Information Systems, or arelated field.Nice to Have● AWS Certifications such as Solutions Architect Professional or Big Data Specialty.● Experience with Snowflake, Matillion, or Fivetran in hybrid cloud environments.● Familiarity with Azure or GCP cloud platforms.● Understanding of machAs an AWS Managed Services Architect, you will play a pivotal role in architecting and optimizing the infrastructure and operations of a complex Data Lake environment for BOT clients. You’ll leverage your strong expertise with AWS services to design, implement, and maintain scalable and secure data solutions while driving best practices.You will work collaboratively with delivery teams across the U.S., Costa Rica, Portugal, and other regions, ensuring a robust and seamless Data Lake architecture. In addition, you’ll proactively engage with clients to support their evolving needs, oversee critical AWS infrastructure, and guide teams toward innovative and efficient solutions.This role demands a hands-on approach, including designing solutions, troubleshooting,optimizing performance, and maintaining operational excellence.

Service Expertise: Deploy and manage solutions using AWS services, including but not limited to:

● EMR (Elastic MapReduce): Optimize and maintain EMR clusters for big data processing.

● AWS Batch: Design workflows to execute batch processing workloads effectively.

● SageMaker: Support data science teams with scalable model training and deployment.

● Glue: Implement Glue jobs for ETL/ELT processes to ensure efficient data ingestion and transformation.

● Lambda: Develop serverless solutions to automate processes and manage events.

● IAM Policies: Define and enforce security policies to control resource access and maintain governance.

● IoT TimeStream Database: Design solutions to handle time-series data at scale.

● DynamoDB: Build and optimize scalable NoSQL database solutions.

● Data Governance & Security: Enforce compliance, governance, and security best practices, ensuring data protection and privacy throughout the architecture.

● Performance Optimization: Monitor and fine-tune performance across AWS resources to ensure cost-effective and efficient operations.

● Automation: Develop Infrastructure as Code (IaC) solutions using tools like AWS CloudFormation, Terraform, or similar.

● Client Collaboration: Work closely with clients to understand their business goals and ensure the architecture aligns with their needs.

● Team Leadership: Act as a technical mentor for delivery teams and provide support in troubleshooting, design reviews, and strategy discussions.

● Innovation: Stay updated on AWS advancements, best practices, and emerging tools to incorporate into solutions.

‍

‍