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About the role
Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field 3-5 years of hands-on experience in data engineering Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift Proven expertise in data modeling for analytical workloads Strong understanding of AWS data services, including:Amazon Redshift, AWS Glue, Amazon S3, Amazon EMR Experience with data pipeline and workflow orchestration tools such as Apache Airflow Hands-on experience with Apache Spark Proficiency in at least one programming/scripting language such as Python, Java, or Scala Solid understanding of data quality, validation, and best practices Nice to have Experience designing large-scale analytics and reporting platforms Familiarity with BI tools and downstream analytics use cases Experience with cost optimization and performance tuning on AWS Exposure to CI/CD for data pipelines Key Skills Amazon Redshift (SQL - Advanced) Data Modeling (Analytics-focused) AWS (S3, Glue, EMR) Apache Airflow Apache Spark Python / Java / Scala Data Quality & Optimization
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