DescriptionWe are currently searching for a
Junior Data Engineer:The Challenge (Responsibilities)- Assist in building and maintaining ETL pipelines using Python and PySpark.
- Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
- Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
- Write complex SQL queries for data extraction, transformation, validation, and reporting.
- Help implement basic monitoring, logging, and error handling for data pipelines.
- Support the ingestion and processing of data from APIs and JSON payloads.
- Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
- Contribute to code management, technical documentation, and deployment support activities.
Your Profile (Requirements)- Degree holders for the visa application process.
- 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
- Good knowledge of Python and SQL.
- Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
- Strong grasp of ETL concepts and data processing fundamentals.
- Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
- Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired- Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
- Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
- Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).
Languages- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes- Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.
Work ArrangementWe value flexibility to support your lifestyle. This position is available as:Requirements- 0-4 years of software development experience across the appropriate platform.
- Good knowledge on Python and SQL.
- Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
- Good understanding of ETL concepts and data processing fundamentals.
- Familiarity with GitLab/Terraform and SDLC from development to production.
- Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
- Good analytical, problem-solving, and communication skills.
