
AWS Cloud Data Specialist
1 week ago
Data Engineer Role Overview
Key Responsibilities:
- We are seeking a highly skilled and experienced Data Engineer to design, develop and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda and Amazon Redshift.
- The successful candidate will implement data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- This role involves building and maintaining orchestration workflows to automate data pipeline execution, scheduling and monitoring.
- Candidates must be able to collaborate with analysts and business stakeholders to understand data requirements and deliver scalable data solutions.
- Ongoing optimization of data pipelines for performance, reliability and cost-effectiveness is also expected, leveraging AWS best practices and cloud-native technologies.
Requirements:
- A minimum of 8+ years of experience in building and deploying large-scale data processing pipelines in a production environment.
- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure is essential.
- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift and strong experience with Apache Spark for data processing and analytics is required.
- Candidates should have hands-on experience in orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.
- A solid understanding of data modeling, database design principles, SQL and Spark SQL is necessary.
About the Position
This role requires a deep understanding of cloud-based technologies and the ability to design and implement complex data pipelines. The ideal candidate will have excellent problem-solving skills, be able to work effectively in a team environment and possess strong communication skills.
What We Offer
We offer a competitive salary and benefits package, opportunities for professional growth and development, and a dynamic work environment.
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