Junior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the creation and maintenance of ETL pipelines utilizing Python and PySpark.

• Aid in the development of workflows employing AWS Glue, Lambda, and Step Functions.

• Engage with cloud data storage solutions such as S3, Redshift, RDS, and Oracle.

• Write SQL queries for data extraction, transformation, validation, and reporting purposes.

• Assist in the implementation of monitoring, logging, and error handling for data pipelines.

• Facilitate the ingestion and processing of data from APIs and JSON payloads.

• Collaborate with software engineers, data analysts, and business stakeholders to gather requirements.

• Contribute to code management, technical documentation, and deployment support efforts.

⛳️ Requirements

• A degree is required for the visa application process.

• 0 to 4 years of experience in software development or data engineering on relevant cloud platforms.

• Proficient knowledge of Python and SQL.

• Strong understanding of AWS services, particularly S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.

• Solid grasp of ETL concepts and fundamentals of data processing.

• Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.

• Knowledge of PySpark, AWS managed services, best practices in data engineering, and code optimization.

• Strong analytical, problem-solving, and communication skills.

• Proficient in oral English.

• Advanced Spanish language skills.

🏝️ Benefits

• Flexible work arrangement: remote.

• Opportunities for continuous learning and professional growth.

• Involvement in high-impact projects and complex engineering challenges.

• Collaboration within an international network and global delivery centers.