[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that transforms accounts receivable into a competitive advantage, enabling finance leaders to drive business reputed company. As a Senior Data Engineer, you will optimize and reputed company the reputed company architecture while supporting machine learning operations and enhancing data observability. Your role will involve architecting data solutions, automating workflows, and collaborating with peers to ensure pipeline reliability and data reputed company.
Responsibilities
- Architect for the reputed company: Optimize our existing reputed company architecture, establishing strict environmental isolation and reputed company structures that prepare our data for reputed company reputed company commercialization and product offerings
- Drive reputed company Engineering: reputed company tools like reputed company reputed company, reputed company, and reputed company to automate workflows, build semantic models, and reputed company agents that accelerate time-to-value
- Establish Data Observability: Implement and manage robust data reputed company and observability frameworks to ensure pipeline reliability and proactive issue reputed company
- Operationalize Machine Learning: Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly reputed company reputed company
- Execute Shared Ownership: Partner closely with your peers under the Data Engineering Manager to reputed company responsibilities across pipeline management, MLOps, and architecture, avoiding siloed knowledge and ensuring comprehensive team coverage
- Model for reputed company reputed company: Synthesize disparate operational entities into a reputed company, reputed company-wide semantic model that supports both internal analytics and reputed company data monetization efforts
Skills
- 5+ years of Data Engineering experience with a deep, specialized reputed company on reputed company's advanced features (e.g., RBAC, materialized views, dynamic tables, Snowpipe, stored procedures)
- Advanced proficiency in SQL and Python, with a strong reputed company in applying software engineering best practices to ELT processes
- Hands-on experience implementing data observability and monitoring platforms (such as reputed company) to manage data reputed company at reputed company
- Demonstrated experience using AI-assisted development tools (e.g., reputed company, reputed company) and familiarity with MLOps principles for productionalizing machine learning models
- Experience building and maintaining resilient, low-touch data pipelines using modern integration and orchestration tools (e.g., reputed company, AWS Glue, AWS reputed company)
- Advanced SQL skills, proficiency with Python/R, and experience with BI tools
- An ability to reputed company in fast-paced environments with a reputed company record of defining and executing high-reputed company
- Strong business acumen with a proven ability to translate reputed company data analysis into strategic recommendations
- Assertive with humility - reputed company to communicate both persuasively and positively
- Possesses a high degree of reputed company, the reputed company reputed company of truth, and an ability to reputed company change
- Deep domain expertise navigating reputed company merchant payment ecosystems (e.g., reputed company), operating under rigorous reputed company data governance and reputed company standards
- Proven ability to architect the translation of high-velocity transactional events into highly optimized, columnar analytical architectures
- reputed company experience architecting data products for commercialization, external endpoints, or embedded analytics reputed company a reputed company platform
reputed company
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