Job Title: AWS Data Engineer

Location: Argentina

Work Mode: Remote

Employment Type: Full-Time / Contract

Job Summary

We are seeking an experienced AWS Data Engineer with strong expertise in Python, SQL, and AWS cloud services. The adecuado candidate will be responsible for developing, maintaining, and optimizing data pipelines, implementing ETL/ELT processes, and supporting cloud-based data warehousing solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Develop Python scripts for data processing, transformation, and automation.
• Utilize AWS services such as S3, Glue, Lambda, EMR, and Redshift.
• Write and optimize complex SQL queries for data transformation and processing.
• Implement data quality checks and performance optimization techniques.
• Support cloud-based data warehousing and data integration solutions.
• Collaborate with cross-functional teams in an Agile environment.
• Use Git for version control and maintain technical documentation.





Required Skills

• Strong hands-on experience with Python programming.
• Practical experience with AWS cloud services, including S3, Glue, Lambda, EMR, or Redshift.
• Strong SQL skills, including query optimization and data transformation.
• Experience building and maintaining ETL/ELT pipelines.
• Knowledge of data warehousing and cloud-based data solutions.
• Understanding of data quality, performance tuning, and data processing best practices.

Preferred Qualifications

• Familiarity with Git and version control.
• Experience working in Agile development environments.
• Strong analytical, problem-solving, and communication skills.

Ideal Candidate

Candidates should have strong technical expertise in Python, SQL, and AWS, with practical experience developing reliable and scalable data engineering solutions.

📌 AWS Data Engineer (Argentina)
🏢 SPADTEK SOLUTIONS
📍 Argentina