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Senior Data Engineer - AWS

Posted 9 days agoViewed

View full description

💎 Seniority level: Senior, Minimum 5 years of experience

🔍 Industry: Technology and software development

🗣️ Languages: English

⏳ Experience: Minimum 5 years of experience

Requirements:
  • Minimum 5 years of experience in data engineering or a related field.
  • Strong proficiency in Python programming language.
  • Deep understanding of AWS services, including Kinesis, S3, Athena, Redshift, DynamoDB, and Lambda.
  • Experience with data ingestion pipelines, ETL processes, and data warehousing concepts.
  • Proficiency in SQL and NoSQL databases.
  • Experience with data modeling and schema design.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with data security and privacy best practices.
Responsibilities:
  • Develop, maintain, and enhance ETL pipelines.
  • Craft client code that is efficient, performant, testable, scalable, secure, and of high quality.
  • Provide accurate status tracking, reporting, and estimation using project methods and tools.
  • Gather requirements, validate understanding, and create and maintain documentation.
  • Execute activities within current methodology, upholding quality standards.
  • Collaborate with engineers, designers, and managers to comprehend user pain points and iterate on solutions.
  • Take ownership of projects from technical design to successful launch.
Apply

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  • Minimum 5 years of experience in data engineering or a related field.
  • Strong proficiency in Python programming language.
  • Deep understanding of AWS services including Kinesis, S3, Athena, Redshift, DynamoDB, and Lambda.
  • Experience with data ingestion pipelines, ETL processes, and data warehousing concepts.
  • Proficiency in SQL and NoSQL databases.
  • Experience with data modeling and schema design.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with data security and privacy best practices.

  • Develop, maintain, and enhance ETL pipelines.
  • Craft efficient, performant, testable, scalable, secure client code of the highest quality.
  • Provide accurate status tracking, reporting, and estimation using project methods and tools.
  • Gather requirements, validate understanding amongst the team, and create and maintain documentation.
  • Execute activities within current methodology and uphold the highest quality standards.
  • Foster collaboration with engineers, designers, and managers to understand user pain points.
  • Take ownership of projects from technical design to successful launch.
Posted 9 days ago
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🔥 Senior Data Engineer - AWS
Posted 9 days ago

🔍 Software Development

  • Minimum 5 years of experience in data engineering or a related field.
  • Strong proficiency in Python programming language.
  • Deep understanding of AWS services, including Kinesis, S3, Athena, Redshift, DynamoDB, and Lambda.
  • Experience with data ingestion pipelines, ETL processes, and data warehousing concepts.
  • Proficiency in SQL and NoSQL databases.
  • Experience with data modeling and schema design.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with data security and privacy best practices.

  • Develop, maintain and enhance ETL pipelines.
  • Craft efficient, performant, testable, scalable, and secure client code.
  • Provide accurate status tracking, reporting, and estimation using project methods and tools.
  • Gather requirements, validate understanding among the team, and maintain documentation.
  • Foster collaboration with engineers, designers, and managers to understand user pain points.
  • Take ownership of projects from design to launch.
Posted 9 days ago
Apply

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