Senior Cloud Data Engineer - San Francisco Bay Area : Hybrid (2 days per week in the SF office)

Role - Senior Cloud Data Engineer

Location: San Francisco Bay Area

In-Person expectation: Hybrid (2 days per week in the SF office)

Contract Type: W2/C2C/1099

Experience: 14+ Years

Skills:

1. Expert in developing and analyzing complex SQL on a variety of RDBMS (Microsoft SQL Server, Oracle)
2. Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
3. Experience with ETL tools (Informatica)
4. Ability to create quality ERD's (entity-relationship diagrams)
5. Excellent writing skills for writing user and system documentation
6. AWS Cloud Data Warehousing Technologies
7. Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices (S3, DMS, Glue, Lambda)
8. Development/modeling experience with Amazon Redshift
9. Experience using the AWS service APIs, AWS CLI, and SDKs to build applications
10. Proficiency in developing, deploying, and debugging cloud-based applications using AWS
11. Ability to use a CI/CD pipeline to deploy applications on AWS (GitLab, Terraform, DBMaestro)
12. Ability to apply a basic understanding of cloud-native applications to write code
13. Proficiency writing code for serverless applications
14. Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
15. Ability to author, maintain, and debug code modules on AWS
16. Database: AWS Aurora Postgres
17. Data Access: AWS Athena
18. Data Analytics: AWS Quicksight
19. Familiarity working with or knowledge of Alteryx, Collibra, Immuta, Okta a plus
20. Experience with visualization tools (Tableau)
21. Experience creating scripts with Python
22. Experience working on an Agile team
23. Understanding of application lifecycle management
24. Understanding of the use of containers in the development process

Designs, develops, modifies, tests and automates solutions to provide data warehouse and business intelligence applications. This includes design, development, architecture recommendations, quality management, metadata and repository creation, troubleshooting problems, and tuning warehouse applications. Develops transition and implementation plans. Recommends changes in development, maintenance, and standards.

1. Advanced analytical ability and technical skill as well as the ability to provide innovative solutions to technical needs and business requirements
2. Ability to exercise independent judgment in making complex business decisions
3. Acute attention to detail with a high level of data integrity and accuracy
4. Excellent verbal and written communication, with interpersonal skills to work with people at all levels of the organization
5. Ability to translate highly technical information into non-technical terms
6. Excellent computer skills including Microsoft Office along with various other software applications as needed for the role
7. Broad knowledge of the programming tools, concepts, practices, and principles including design, implementation, and testing
8. Position requires continuous visual concentration and manual dexterity to operate PC
9. Requires prolonged sitting and minimal standing/walking
10. Minor lifting and carrying, not likely to exceed ten pounds (laptop + charger)
11. May require extended work hours and/or schedule flexibility as unexpected situations and/or workflow dictate
12. May require on-call status
13. Rare domestic travel including overnight stays may be necessary

Minimum Requirements:

5 to 9+ years of relevant work experience

Bachelor's degree or equivalent experience