Coforge

AWS Cloud Data Engineer

Sydney, NSW, AU

25 days ago
Save Job

Summary

Role: AWS Cloud Data Engineer

Job Type: Fulltime role

Location: Sydney

Skills: ETL, AWS, Redshift, SQL, Python

Experience: 10+ years


We at Coforge are hiring for AWS Cloud Data Engineer with following skillset:


Looking for highly skilled AWS Data Platform Engineers with extensive experience in Banking, Financial Services (BFS), and stock trading. The ideal candidates will be responsible for designing, implementing, and maintaining robust data platforms on AWS, ensuring seamless integration and real-time data processing for financial applications.

Key Responsibilities:

  • Design and Development: Architect and develop scalable data platforms using AWS services such as Redshift, Glue, Athena, EMR, and S3.
  • Data Integration: Integrate various data sources, including real-time stock trading data, into the AWS data platform.
  • ETL Processes: Develop and manage ETL processes to ensure efficient data ingestion, transformation, and loading.
  • Data Security: Implement security best practices to protect sensitive financial data, including encryption and access controls.
  • Performance Optimization: Optimize data storage and retrieval processes to ensure high performance and low latency.
  • Monitoring and Maintenance: Monitor data platform performance, troubleshoot issues, and perform regular maintenance.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Documentation: Maintain comprehensive documentation of data architecture, processes, and configurations.

Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Experience: Minimum of 10 years of experience in data engineering, with at least 5 years on AWS.

Technical Skills:

  • Proficiency in AWS services (Redshift, Glue, Athena, EMR, S3).
  • Strong knowledge of data warehousing and big data technologies.
  • Experience with real-time data processing using Kafka or similar technologies.
  • Expertise in SQL, Python, and other scripting languages.

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