Cloud Data Engineer Position
4 weeks ago
Synechron is a global consulting firm that combines creativity and innovative technology to deliver industry-leading digital solutions.
We have a strong presence in key global markets and are proud to be an equal opportunity workplace and an affirmative-action employer.
Job Title: AWS Data EngineerEstimated salary: $120,000 - $180,000 per year based on location and experience.
Job DescriptionWe are seeking an experienced AWS Data Engineer to join our team. As an AWS Data Engineer, you will be responsible for architecting and building scalable data solutions using AWS technologies such as S3, Redshift, Glue, and EC2.
- Develop and maintain scalable and reliable data pipelines to ingest data from various APIs into the AWS ecosystem.
- Manage data storage solutions using S3 buckets, ensuring best practices in data organization and security.
- Utilize AWS Redshift for data warehousing tasks, optimizing data retrieval and query performance.
- Configure and use AWS Glue for ETL processes, ensuring data is clean, well-structured, and ready for analysis.
- Utilize EC2 instances for custom applications and services that require compute capacity.
- Implement data lake and warehousing strategies to support analytics and business intelligence initiatives.
- Collaborate with cross-functional teams to understand data needs and deliver solutions that align with business goals.
- Ensure compliance with data governance and security policies.
To be successful in this role, you will need:
- Solid experience in AWS services, especially S3, Redshift, Glue, and EC2.
- Proficiency in data ingestion and integration, particularly with APIs.
- Strong understanding of data warehousing, ETL processes, and cloud data storage.
- Experience with scripting languages such as Python for automation and data manipulation.
- Familiarity with infrastructure as code tools for managing AWS resources.
- Excellent problem-solving skills and ability to work in a dynamic environment.
- Strong communication skills for effective collaboration and documentation.
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