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 Git Lab/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, Cloud Watch, 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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