AWS Data Engineer (Apache Spark, Iceberg, Redshift) – Remote | Independent Visa Only

Job Title: AWS Data Engineer Location: Remote Job Summary We are looking for an experienced AWS Data Engineer with strong expertise in big data distributed systems and Spark-based data processing. The ideal candidate should have hands-on experience building scalable data pipelines on AWS and working with modern data lake technologies. Must-Have Skills & Experience • Strong experience with Big Data distributed systems such as: • Apache Iceberg • Hadoop • Hudi • Amazon Redshift • Deep expertise in Apache Spark (batch and/or streaming) • Hands-on experience with: • Shell scripting (Bash) • Python • PySpark • Solid experience with AWS services, including: • AWS Glue • Lambda • Airflow • Lake Formation • EKS • EC2 • SQS • SNS • Strong understanding of data pipeline design, performance optimization, and troubleshooting Preferred / Nice-to-Have Skills • Experience with Google Cloud Platform (GCP) • Hands-on exposure to BigQuery • Experience working with DBT • Familiarity with real-time / streaming data processing Additional Notes • This role requires hands-on engineering expertise; not looking for a generic Data Engineer profile • Candidates with experience in large-scale data platforms and cloud-native architectures are highly preferred