AWS Data Engineer

• The ideal candidate will be responsible for designing, developing, and maintaining big data solutions on AWS. 
• This role requires a deep understanding of big data technologies, cloud architecture, and best practices in data engineering. 

Responsibilities: 

• Design, develop, and maintain big data solutions using AWS services. Implement data processing architectures, including data ingestion, storage, processing, and analysis. 
• Collaborate with cross-functional teams to define data requirements and deliver solutions. 
• Ensure scalability, security, and cost-effectiveness of data solutions. 
• Develop and maintain ETL pipelines to process large volumes of data. 
• Monitor and optimize data workflows for performance and reliability.
• Troubleshoot and resolve data-related issues in a timely manner. 
• Create and maintain documentation for data solutions and processes. 

Qualifications: 

• Bachelor's degree in Computer Science, Information Technology, or a related field. 
• 3+ years of experience in big data engineering. Proven experience with AWS services such as EMR, S3, Redshift, Lambda, and Glue. 
• Strong understanding of big data technologies like Hadoop, Spark, and Kafka. 
• Experience with data modeling, ETL processes, and data warehousing. 
• Proficiency in programming languages such as Python, Java, or Scala. Excellent problem-solving skills and attention to detail. 
• Ability to work independently as well as part of a team. 

Skills: 

• Proficiency in AWS big data services (EMR, S3, Redshift, Lambda, Glue). 
• Strong knowledge of big data technologies (Hadoop, Spark, Kafka). 
• Experience with ETL tools and processes. 
• Familiarity with data modeling and data warehousing concepts. 
• Excellent communication and collaboration skills. 
• Ability to manage multiple tasks and projects simultaneously.