Data Engineer AWS1

1. Design and Develop Data Solutions: Architect build and optimize data pipelines and ETL processes on AWS using services like Amazon Redshift Amazon RDS AWS Glue and AWS Lambda. Collaborate with crossfunctional teams to understand data requirements and translate them into technical solutions.
2. Data Modeling and Warehousing: Design and implement data models schemas and data warehouses to support analytics and reporting needs. Ensure data integrity reliability and performance across all datarelated processes.
3. Data Integration and Transformation: Implement data integration solutions to consolidate data from various sources ensuring consistency and accuracy. Transform and cleanse data as needed to meet business requirements.
4. Performance Optimization: Identify opportunities for performance optimization and scalability improvements in data processing and storage. Implement best practices for data partitioning indexing and caching to enhance system performance.
5. Monitoring and Maintenance: Monitor data pipelines and infrastructure components for performance availability and reliability. Implement proactive measures to address issues and ensure continuous operation.
6. Documentation and Knowledge Sharing: Document data architecture processes and best practices. Contribute to knowledge sharing initiatives like CoE and CoP by sharing insights presenting findings and participating in discussions related to data engineering and AWS.
7. Collaboration and Teamwork: Collaborate effectively with crossfunctional teams including data scientists analysts and business stakeholders. Participate in Agile ceremonies and contribute to a culture of collaboration innovation and continuous improvement.

• Bachelors degree in Computer Science Engineering or a related field.
• years of experience as a Data Engineer with a strong focus on AWS technologies.
• Proficiency in SQL Python or other programming languages commonly used in data engineering.
• Handson experience with AWS data services such as Amazon Redshift Amazon RDS AWS Glue AWS Lambda etc.
• Experience with data modeling ETL processes and data warehousing concepts.
• Strong problemsolving skills and attention to detail.
• Excellent communication and collaboration skills.
• Any additional qualifications specific to the role or organization

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