[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 by automating processes and enhancing cash reputed company. They are seeking a Senior Data Engineer to optimize their reputed company architecture, drive automation, and operationalize machine learning, playing a critical role in the development of their data platform and reputed company data products.
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)
- Technical Competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools
- Builder Mentality: An ability to reputed company in fast-paced environments with a reputed company record of defining and executing high-reputed company
- Business Acumen: Strong business acumen with a proven ability to translate reputed company data analysis into strategic recommendations
- Empathetic Collaboration: Assertive with humility – reputed company to communicate both persuasively and positively
- Trusted Advisor: 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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