AWS Data Engineer

Qode
Ohio, OH
Job Description
We are seeking an experienced AWS Data Engineer to design, build, and maintain large-scale data pipelines and cloud-based data platforms. This role requires hands-on experience with AWS services, distributed data processing, and scalable solutions for analytics and machine learning. The ideal candidate will have strong Python and PySpark skills, proficiency in SQL, and experience with AWS cloud ecosystem.

Requirements

  • Strong programming skills in Python and hands-on experience with PySpark.
  • Proficiency in SQL for complex queries, transformations, and performance tuning.
  • Solid experience with AWS cloud ecosystem (S3, Glue, EMR, Redshift, Athena, Lambda, etc.).
  • Experience working with data lakes, data warehouses, and distributed systems.
  • Knowledge of ETL frameworks, workflow orchestration (Airflow, Step Functions, or similar), and automation.
  • Familiarity with Docker, Kubernetes, or containerized deployments.
  • Strong understanding of data modeling, partitioning, and optimization techniques.
  • Excellent problem-solving, debugging, and communication skills.
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