May 10, 2022
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Las Vegas, NV 89169, United States
May 10, 2022
Apply NowJob description
Position Overview
The AWS Sr Data Engineer will be working with the product engineering team and focusing on AWS based data technologies. A key part of the role is championing and leading all things data. The Engineer will also work closely with the corporate technology team to build, manage and automate our AWS infrastructure. The position demands someone who is highly technically competent, detail oriented, and driven to stay current with evolving technologies.
All Sands Corporation Team Members are expected to always conduct and carry themselves in a professional manner. Team Members are required to observe the Company’s standards, work requirements and rules of conduct.
Essential Duties & Responsibilities
- Lead efforts of the Data Engineers for AWS and take initiatives and create processes for utilization of AWS data services and technologies
- Design, create, manage, and facilitate business use of large datasets, across a variety of data platforms
- Design, build, and operationalize database solutions that are secure, scalable, and highly available on AWS
- Work collaboratively with product & software engineering professionals to define solutions and deployment requirements
- Provision, configure and maintain AWS data services and infrastructure defined as code
- Design and build production data pipelines from ingestion to consumption within a data architecture, using Golang, Python, and/or Scala
- Design and implement data engineering, ingestion and curation functions on AWS using AWS native or custom programming.
- Perform detail assessments of current state data platforms and create an appropriate transition path/evolution to state-of-the-art AWS services as needed
- Collaborate with architecture teams to identify optimal solutions
- Manage a queue of work requests to meet service levels and KPI objectives.
- Provide recommendations regarding product/vendor selection, technology evolution, and design strategies
- Collaborate with business stakeholders, IT peers, and leadership
- Execute incident, problem and change management processes and reporting as needed
Minimum Qualifications
- 21 years of age
- Proof of authorization/eligibility to work in the United States
- Bachelor’s Degree in computer science, Information Technology, or other relevant fields
- At least 5 years designing and developing solutions using AWS services such as Lamdba, Glue, SQS, SNS, Redshift, Athena, PySpark EMR, DynamoDB, Neptune etc.
- Experience on Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis
- Experience implementing batch processing using Glue/Lake Formation, Lambda & Data Pipeline
- Experience in optimizing the cost for service being utilized
- Develop code using Golang, Python, besides PySpark, SQL and other languages
- Experience building pipelines and orchestration of workflows in an enterprise environment
- Perform ongoing monitoring, automation and refinement of data engineering solutions
- Experience working with an on-shore / off-shore model
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Experience deploying and managing infrastructure with Terraform
- Experience with Kubernetes, GitHub, Jenkins, ELK and deploying applications on AWS
- Ability to learn/use a wide variety of open-source technologies and tools
- Strong bias for action and ownership
- Ability to professionally engage with stakeholders across all levels of the organization, including peers and executive leadership
- Effective written and verbal communication skills in English
Physical Requirements
Must be able to:
- Physically access assigned workspace areas with or without reasonable accommodation.
- Work remotely as necessary
- Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, and dust.
- Utilize laptop and standard keyboard to perform essential functions of the job.
