AWS Data Engineer

Stellar IT Solutions is seeking motivated and passionate AWS Data Engineers to join our growing team and work on enterprise-level client projects. This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering.

What You'll Do

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows using cloud-native technologies.
• Work with AWS services including S3, Glue, Lambda, Redshift, Athena, and CloudWatch.
• Develop data processing solutions using Python and SQL.
• Integrate data from multiple sources into cloud-based data platforms.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Follow best practices for data security, governance, and documentation.

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• 0-3 years of experience in Data Engineering, Cloud, or Software Development.
• Strong knowledge of SQL and Python.
• Basic understanding of AWS Cloud services.
• Familiarity with ETL concepts and relational databases.
• Excellent analytical, communication, and problem-solving skills.

Preferred Skills

• Experience with PySpark or Apache Spark.
• Knowledge of AWS Glue, Redshift, Lambda, EMR, or Athena.
• Familiarity with Git and Linux.
• AWS Cloud certifications are a plus.