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Job Details

AWS Data Engineer/Senior Engineer

Job Description:

  • Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services.
  • Design, develop, and maintain data pipelines using AWS serverless technologies such as Glue, S3, Lambda, DynamoDB, Athena, and RedShift.
  • Implement data modelling techniques to optimize data storage and retrieval processes.
  • Develop and deploy data processing and transformation frameworks to support both real-time and batch processing requirements.
  • Ensure data pipelines are scalable, reliable, and performant to handle large-scale data sizes.
  • Implement data documentation and observability tools and practices to monitor and troubleshoot data pipeline performance issues.
  • Adhere to privacy and security development best practices to ensure data integrity and compliance with regulatory requirements.
  • Collaborate with the DevOps team to automate deployment processes using AWS Code Pipeline.

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience working in data modelling and building real-time and batch processing data pipelines for large-scale data sizes.
  • Strong proficiency in Python programming language.
  • Extensive experience with AWS serverless or managed services such as S3, Glue, EMR, Lambda, DynamoDB, Athena, and RedShift.
  • Solid understanding of privacy and security development best practices.
  • Excellent problem-solving skills and ability to troubleshoot complex data pipeline issues.
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Experience with Agile development methodologies is a plus.

IN-GJ-Ahmedabad, India-Ognaj (eInfochips)

Time Type:
Full time

Job Category:
Engineering Services
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AWS Data Engineer/Senior Engineer
I'm Interested