" Jr Dev - AWS Data Engineer We are seeking a Jr Dev - AWS Data Engineer with 0-4 years of software development experience to support the design, development, and maintenance of cloud-based data pipelines and ETL solutions on AWS. This role is idóneo for candidates who are building foundational skills in Python, SQL, PySpark, and AWS data services.

Key Responsibilities

- Assist in building and maintaining ETL pipelines using Python and PySpark.
- Support development of workflows using AWS Glue, Lambda, and Step Functions.
- Work with cloud data storage platforms such as S3, Redshift, RDS and Oracle.
- Write SQL queries for data extraction, transformation, validation, and reporting.
- Help implement basic monitoring, logging, and error handling for pipelines.
- Support ingestion and processing of data from APIs and JSON payloads.
- Collaborate with engineers, analysts, and stakeholders to understand requirements.
- Contribute to code management, documentation, and deployment support activities.





Required Skills and Qualifications

- 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.

Preferred Skills

- Exposure to PySpark, Athena, CloudWatch, SNS and SQS
- Internship, project, or academic experience in cloud, analytics, or data engineering.
- Good understanding of using AI tools like Github Copilot or similar for code productivity"

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📌 Big Data Engineer (Chihuahua)
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