AWS Data Engineer Full-Time Only For USC & GC

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
• Build and manage enterprise data lakes and data warehouses using Amazon S3, Redshift, and AWS Glue.
• Develop and optimize batch and real-time data processing solutions.
• Ensure data quality, governance, integrity, and security across enterprise data platforms.
• Integrate data from multiple sources and formats.
• Collaborate with business stakeholders to translate requirements into scalable technical solutions.
• Maintain and optimize data workflows for performance and reliability.
• Optimize AWS infrastructure for cost and performance.
• Work closely with Data Scientists, BI teams, and DevOps engineers.

Required Skills

• 8+ years of experience in Data Engineering.
• Strong hands-on experience with:
• Amazon S3
• AWS Glue
• Amazon Redshift / RDS
• AWS Lambda
• AWS Kinesis
• Strong SQL skills.
• Proficiency in Python, Scala, or Java.
• Experience with ETL/ELT frameworks and data integration.
• Strong understanding of data modeling, data warehousing, and big data concepts.
• Experience with Apache Spark and Hadoop.
• Experience with Git and CI/CD pipelines.

Preferred Skills

• Apache Spark
• AWS Certified Data Engineer or AWS Solutions Architect certification
• Power BI or Tableau
• Knowledge of data governance, security, and compliance.
• Experience with machine learning data pipelines.
• Exposure to multi-cloud or hybrid cloud environments.

Soft Skills

• Excellent analytical and problem-solving abilities.
• Strong communication and stakeholder management skills.
• Attention to detail with a focus on data quality.
• Ability to work effectively in Agile environments.

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.