AWS CONSULTANT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Sep 19, 2024 - The Amazon Web Services Consultant boasts extensive expertise in developing and operationalizing large-scale data solutions, including Data Lakes, on AWS and integrating with third-party services such as EC2, S3, RedShift, and Snowflake. This role requires advanced skills in building secure data solutions using AWS data services combined with third-party KMS and HSM, as well as proficiency in migrating on-premise data lakes to AWS cloud platforms. The position also demands experience in designing robust data pipelines within hybrid big data architectures, applying ETL best practices, and utilizing data management tools like Podium Data and Informatica BDE.
Summary of AWS Consultant Knowledge and Qualifications on Resume
1. BS in Computer Science with 4 years of Experience
- Strong AWS skills, with either Apache Spark, Kafka, AWS Glue, Python.
- Bonus experience Databricks and Streamsets.
- Experience in delivering projects across the lifecycle from end to end.
- Experience in discussing client needs for both project delivery and proposal work - translating these into solutions and executing the project.
- Demonstrated ability or experience of building and maintaining client relationships.
- A level of eagerness to line manage and develop junior colleagues' core competencies.
- A high level of drive with the ability to work to tight deadlines
- Experience in providing insightful solutions throughout the business
- The ability to participate effectively in meetings with senior stakeholders
- A team player who supports, encourages and shares knowledge with others
- A self-starter with the ability to work under pressure and with limited supervision
- A track record of accurate output and responsibility for elements of project delivery
2. BA in Information Technology with 3 years of Experience
- Experience in Building and operationalizing large-scale enterprise data solutions, Data Lakes and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Experience in EC2, EMR, S3, Kinesis, Dynamo DB, RedShift, RDS, Lambda, Glue, Spark, Snowflake etc.
- 3rd party KMS, HSM with AWS data services for building secure data solutions
- Hadoop stack (HDFS, PIG, Hive, Spark, Ambari, SQOOP, Map reduce, Tez, Ranger etc..)
- Experience in Data Lake management tools Like Podium Data, Diyotta, Informatica BDE etc.
- Hands-on experience analyzing, re-architecting and re-platforming on premise data Lake to data platforms on AWS cloud using AWS/3rd party services
- Experience in designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Podium, Java, Python, Scala, C++ etc.
- Demonstrated knowledge and application of ETL Data Warehousing best practices
- Experience with SQL against relational databases preferably with SQL Server, Oracle database platforms 10g and above on Linux/Unix.
- Exposure to Logi, SAS, Tableau, R or other dashboarding reporting experience
3. BS in Network Engineering with 5 years of Experience
- Experience with AWS cloud environment
- Experience with CI/CD (Jenkins, CodePipelines, and Bamboo)
- Experience with databases (Oracle)
- Experience with Agile
- Knowledge of Java / NodeJS
- Knowledge of Kubernetes
- Experience with source control Git
- Capability of working in an international/ multicultural environment
- Excellent communication/writing skills
- Ability to understand, speak and write in English (B2 level).
- Familiarity with programming/scripting languages (eg. Python, JSON, YAML, etc.)
- Demonstrable experience in a hands-on technology delivery role
- Experience in an AWS-focused role, having supported previous cloud projects
- The ability to work as part of an integrated team or on an individual basis
- Awareness of industry standards, regulations and developments
4. BA in Cyber Security with 2 years of Experience
- Self-motivated and enthusiastic
- Highly organized, can manage work and schedule
- Excellent written and oral communication
- Stakeholder management skills
- Respectful of others and a high degree of integrity
- Designing and building solutions on AWS
- Implementing AWS foundation services (networking, computing, storage, databases, etc)
- Knowledge of AWS security services
- Hands-on experience with Linux and/or Windows
- Serverless components and containers (Lambda, Docker, EKS/ECS, Fargate)
- Continuous Integration / Continuous Delivery pipelines and tooling (eg. Jenkins)
- Automation and configuration management tools (eg. Cloudformation/Terraform and Ansible/Puppet)
- Modern version control systems (Github, Bitbucket)