Senior Data Engineer
Luxoft
DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting‑edge digital and software solutions worldwide. We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology. Join a global community of engineers and be part of building impactful, modern technology solutions! 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. Mandatory Skills Description 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 with building ETL pipelines. Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases. Solid experience with OpenSearch. Familiarity with the 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 a 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. Nice‑to‑Have Skills Description Agile certification. Oracle/Microsoft attestations and certifications. Domain knowledge of Trading and Capital Markets. #J-18808-Ljbffr
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