Senior Data Engineer
hace 3 semanas
We are seeking an experienced Senior Data Engineer to join our Data Services pod in the Data Engineering team. As a key member of our team, you will be responsible for architecting and constructing a new version of the data services platform, Data Services 2.0.
About the Team
Our Data Engineering team is the core of Data, which everything else relies upon. The team is responsible for the development and management of the Enterprise Data Platform, which powers the company and all respective Data functions.
Key Responsibilities
The successful candidate will be responsible for:
- Improving and maintaining the data services platform.
- Delivering high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs for data sharing across multiple products.
- Developing effective architectures and producing key code components that contribute to the design, implementation, and maintenance of technical solutions.
- Integrating a diverse network of third-party tools into a cohesive, scalable platform, optimizing code for enhanced scalability, performance, and readability.
- Continuously improving system performance and reliability by diagnosing and resolving unexpected operational issues to prevent recurrence.
- Ensuring that your team's work undergoes rigorous testing through repeatable, automated methods.
- Supporting data infrastructure and the rest of the data team who designs, implements, and deploys scalable, fault-tolerant pipelines that ingest and refine large diverse datasets into simplified accessible data models in production.
- Collaborating with cross-functional teams to understand data flows and design, build, and test optimal solutions for engineering challenges.
- Operating within an Agile/Scrum framework, working closely with Product and Engineering teams to deliver value across multiple services and products.
- Influencing and shaping the enterprise data platform and services roadmap, architecture, and design standards. Collaborating with technology leaders and team members to design, adapt, and enhance the architecture to meet evolving business needs.
Requirements
The ideal candidate will possess:
- A BS or MS in a technical field: computer science, engineering, or similar.
- 8+ years of technical experience working with data.
- 5+ strong experience building scalable data services and applications using either SQL, Python, Java/Kotlin, with the interest and aim to learn additional tools and technologies.
- A deep understanding of microservices architecture and RESTful API development, including gRPC, REST/SOAP, GraphQL.
- Experience with AWS services, including Messaging such as SQS, SNS, and familiarity with real-time data processing frameworks such as Apache Kafka or AWS Kinesis.
- Significant experience building and deploying data-related infrastructure, robust data pipelines (beyond simple API pulls) & ETL/ELT code encompassing messaging, storage, compute, transformation, execution.
- Experience in identifying and proposing initiatives aimed at enhancing the performance and efficiency of existing systems, setting the standard for SLAs & SLOs.
- Strong communication and interpersonal skills.
- Experience managing a team or experience working with an on-shore/off-shore model is a plus.
Nice-to-Have
The following skills are desirable:
- Knowledge of AWS and Azure cloud services.
- Previous experience in a start-up or agile environment.
- Additional experience with Snowflake and Airflow is desirable.
Location
This is a remote position; however, the ideal candidate should be available to work from 9 am to 12 pm Pacific Time.
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