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Senior Data Engineer (Data Science)
- Poland, Ohio, United States
- Poland, Ohio, United States
Über
Internal Mobility program - possibility of rotation between projects, locations, accounts
Project Description Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal assistant that uses hosted APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.
Responsibilities
Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation
Skills What is relevant to have
8+ years of hands-on experience in Data Science and 2+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
Strong programming skills in languages such as Python and familiarity building ETL pipelines.
Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases
Solid experience with OpenSearch
Familiarity with AWS cloud platform and its services.
Experience with version control systems (e.g., "Git") and CI/CD pipelines.
Ability to build scalable infrastructure to embed and search very large number of documents.
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
Expertise in ML
Strong English skills (B2 and higher)
Strong verbal and written communication skills.
Ability to work independently and collaborate in a group.
What is nice to have
Oracle/Microsoft attestations and certifications
Domain knowledge - Trading and Capital Markets
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Sprachkenntnisse
- English
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