drjobs Data Engineer II, Veritas

Data Engineer II, Veritas

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1 Vacancy
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Job Location drjobs

Seattle, WA - USA

Yearly Salary drjobs

$ 118900 - 205600

Vacancy

1 Vacancy

Job Description

Amazon Security (AmSec) is looking for a Data Engineer II to join a team of highly skilled individuals working on our initiatives in resource and application discovery within Amazon security. Our product Veritas is a foundational service within Amazon security that provides data for security initiatives like security reviews threat modeling and detection access control and incident response.

You will be part of a AmSec organization that spans over ten countries worldwide catering to a wide variety of customer use cases including security intelligence application security incident response security operations risk and compliance acquisitions and subsidiaries and external partner security.

You will work closely with a diverse range of roles such as Software Development Engineers Data Scientist Data Engineers Technical Program Managers Product managers and our Security Engineer customers to build high quality datasets for security investigations application modeling and more.

Youll primarily work with AWS services such as EMR Glue Athena Redshift S3 SNS SQS Apache Airflow along with some internal tools.

Youll also be part of our transformation journey to build data objects by leveraging AI. Our data lake contains over 500 datasets from various sources with some handling daily volumes exceeding 1TB.

As Data Engineer you will be gathering and understanding data requirements partnering with software engineers and collaborating across roles and teams to create the necessary data infrastructure and high quality pipelines to drive our teams initiatives. We have high-visibility data ingestion goals in a fast-paced operational environment. The ideal candidate should enjoy the challenge of operating complex and mission-critical systems under ambiguity.

Key job responsibilities
Develop and influence the teams data strategy and data storage roadmap through working closely with partners
Lead designs for data governance strategy define data schema and develop tools to enable more efficient data sharing with customers which adhere to highly confidential data handling guidelines.
Continually improve the data quality and operations via automation and building full CI/CD data pipelines
Recognize and adopt best practices in data integrity data model testing analysis validation and documentation.
Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems
Utilize AI/LLM to automate manual and redundant data engineering task
Evaluate and implement various big-data technologies and solutions (e.g. Redshift Hive/EMR Spark SNS SQS Kinesis) to optimize processing of extremely large datasets
Understand and analyze business processes logical data models and relational database implementations
Write high performing and optimized SQL queries

About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.

Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.

Training & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- 4 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 4 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

Department / Functional Area

Data Engineering

About Company

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