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Responsibilities
Description:Seeking a highly skilled Specialist Data Engineer with expertise in Snowflake, AWS, Data Warehousing, and Data Lake technologies.Responsibilities include designing and building scalable data solutions, analyzing complex data environments, troubleshooting production issues, and driving data engineering best practices.Requirements:Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.8 to 12 years of experience in Data Engineering.Strong hands-on experience with Snowflake and AWS services (S3, IAM, EC2, Lambda, CloudWatch, SQS/SNS).Expertise in SQL, ETL/ELT processes, Data Warehousing, Data Modeling, and Data Lake concepts.Experience with Kafka, Flink, or similar stream-processing technologies.Proficiency in Python, Java, or Scala.Strong troubleshooting and analytical skills.Understanding of cloud-native architecture and performance optimization.Benefits:Opportunity to work on large-scale cloud and data platforms.Exposure to modern data engineering technologies and AI-driven solutions.Ability to influence architecture and engineering best practices.Collaborative and innovation-focused work environment.Flexible hybrid work model (2 days in office, 3 days remote).
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