Dinocloud - Miami, FL

posted about 2 months ago

Full-time - Mid Level
Miami, FL

About the position

As a Senior Data Engineer at DinoCloud, you will be a key player in turning technical decisions into effective solutions. You will collaborate closely with technical leaders to implement advanced architectures and ensure that data flows accurately and reliably through the cloud. Your role will involve solving complex technical challenges related to data architecture and management, which are critical to the success of our data-driven initiatives. You will be responsible for implementing solutions designed by technical leaders, ensuring they meet quality and efficiency standards. Additionally, you will provide technical support to less experienced team members, helping them develop their skills and grow within the organization. Your expertise will be essential in proposing improvements to optimize data flows and infrastructure, ensuring that our systems are robust and scalable. Furthermore, you will play a vital role in ensuring data accuracy and reliability through rigorous cleaning and validation processes, which are crucial for maintaining the integrity of our data assets.

Responsibilities

  • Collaborate with technical leaders to implement advanced data architectures.
  • Solve complex technical challenges related to data architecture and management.
  • Implement solutions designed by technical leaders, ensuring quality and efficiency standards are met.
  • Provide technical support to less experienced team members, aiding in their skill development.
  • Propose improvements to optimize data flows and infrastructure.
  • Ensure data accuracy and reliability through rigorous cleaning and validation processes.

Requirements

  • Solid experience managing data in AWS (Glue, DynamoDB, RDS, S3, Redshift, among others).
  • Advanced knowledge of SQL and NoSQL databases (indexing, troubleshooting, auditing, partitioning, etc.).
  • Experience in designing, implementing, and optimizing data pipelines.
  • Proven ability to ensure data integrity and quality.

Nice-to-haves

  • AWS Certified Data Engineer - Associate certification.
  • AWS Certified Professional Solutions Architect certification.
  • Background in systems or related fields.
  • English proficiency (B1 or higher).
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