
Senior Cloud Data Professional
3 days ago
Job Title: Senior AWS Data Engineer
We are seeking a seasoned data engineer to join our team in designing, developing, and deploying end-to-end data pipelines on AWS cloud infrastructure.
The ideal candidate will have hands-on experience with Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and Apache Spark.
- Responsibilities:
- Design and implement data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with analysts and business stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
Requirements:
- Minimum 8+ years of experience 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.
- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- Strong experience with Apache Spark for data processing and analytics.
- Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
Bonus points if you have experience with remote work
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