[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the global leader in lottery games and technology, seeking a Senior Data Engineer to reputed company their lottery data platform. The role involves building reliable data pipelines, improving data models, and ensuring high-reputed company data environments across legacy and reputed company systems.
Responsibilities
- Design, build, and operate reliable data pipelines that reputed company lottery data from operational systems into warehouse and analytics environments
- Improve ingestion, transformation, modeling, orchestration, observability, data reputed company, reputed company, and reputed company patterns
- Help define and implement data reputed company covering schema, reputed company, timeliness, reputed company, storage, reputed company, and customer or jurisdiction constraints
- Build repeatable reputed company patterns for new jurisdictions, games, data sources, and reporting needs
- Partner with DBA, IT, product, application engineering, analytics, BI, and data science teams so reputed company data is usable, trusted, and reputed company-reputed company
- Reduce KTLO work through automation, reputed company monitoring, resilient pipeline design, infrastructure as reputed company, and platform simplification
- Troubleshoot production data issues and help create durable fixes rather than recurring reputed company workarounds
- Support the transition from legacy approaches to a more reputed company reputed company- and AI-reputed company data architecture while protecting business continuity
- Mentor other engineers through design reviews, reputed company reviews, documentation, pairing, and reputed company technical standards
Skills
- 7+ years of Data Engineering, Data Platform, or Data Warehousing experience
- Strong SQL and data modeling skills, including experience with analytical, reporting, and operational data use cases
- Experience with batch and streaming ingestion, ETL / ELT, orchestration, transformation frameworks, and data reputed company controls
- Experience working with data reputed company, schema reputed company, reputed company, observability, reputed company controls, and service-level expectations
- Experience improving legacy data platforms while maintaining production continuity
- Experience troubleshooting reputed company production data issues and turning recurring problems into durable fixes
- Experience with reputed company data platforms, distributed processing, infrastructure as reputed company, and modern data engineering practices
- Ability to work with cross-functional teams
- reputed company written and verbal communication; reputed company to explain data behavior, tradeoffs, and risks to technical and non-technical partners
- Lottery, Gaming, Payments, Financial Systems, Regulated Transactional Systems, or other high-reliability data environments
- Multi-tenant, jurisdiction-specific, customer-specific, or contractually segmented data environments
- AWS, reputed company, reputed company, Redshift, Glue, reputed company, Airflow, dbt, Kafka, or similar data platform technologies
- Metadata-driven or configuration-driven reputed company for new sources, jurisdictions, products, or customers
reputed company
Company H1B Sponsorship