AWS Cloud Engineer
Role details
Job location
Tech stack
Requirements
The individual will be joining a Data POD of developers and admins in the iterative design of a business solution using the Agile methodology. The candidate will also be required to have a deep familiarity with the following technologies and its application to business solutions: EKS, EC2, EMR, Kendra, GLUE, Athena, Spectrum, Elastic Search, EBS, S3 is essential, along with Oracle database administration experience. Candidates experienced with the following will be given preference: Spark, EKS, Dockers, Python, Redshift, RDS, CI/CD, MuleSoft, Apigee, Sage Maker, CloudWatch, CloudTrail., * Over 8+ years of professional experience in AWS administration.
- Hands-on expertise in delivering end-to-end solutions for Data & Analytics applications, handling both structured and unstructured data within the AWS and Oracle environments.
- Strong ability to collaborate with project managers & stakeholders to refine and document infrastructure requirements iteratively, while accurately forecasting engineering efforts.
- Strong dedication to continuous integration and leveraging automation for stable development and production environments.
- Extensive experience in optimizing costs and performance.
- Proficient in Linux and Windows system administration tasks.
- Exceptional attention to detail and a strong commitment to quality.
- Self-motivated and determined to achieve set milestones.
- Excellent collaboration skills, with the ability to both mentor and be mentored.
- Capable of seamlessly working within a multi-site, multicultural development team.
- Eagerness to learn new technologies.
- Enthusiasm for working in a fast-paced, growing, deadline-driven startup environment.
- Required experience in documenting best practices and ensuring strong governance within a team.
- Holds a BS or MS degree in Computer Science or a related field.
Preferred Skills/Experience
- AWS Architect Associate certification
- Experience with Scrum and an Agile Development environment
- Experience with tools like JIRA, GIT/Bitbucket, Confluence, etc.
- Experience with Continuous Integration/Delivery concepts and tools like Jenkins, SonarQube, bitbucket, etc
- Strong working knowledge of tools like Sqoop, Spark, Oozie, Hive and Impala
- Strong working knowledge of ETL tools like Informatica and/or Talend
- Knowledge of best practices in using reporting tools like Tableau, Qlik, R, etc
- Experience with data lineage, data profiler and metadata management tools and processes