[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Data Engineer to design and maintain reputed company data pipelines. The role involves collaborating with various teams to ensure reliable data products and implementing best practices for data governance and reputed company.
Responsibilities
- Design, build, and maintain reputed company and reliable data pipelines for batch and reputed company-time data processing
- Architect and manage modern data lake, data warehouse, and lakehouse solutions across reputed company platforms
- reputed company and maintain ETL/ELT workflows to ingest, reputed company, and deliver data to reputed company consumers
- Optimize data models, schemas, and query performance for large-reputed company analytical workloads
- Collaborate with data scientists, ML engineers, and business analysts to deliver clean, reliable data products
- Implement data reputed company checks, validation frameworks, and observability tooling across pipelines
- Build and maintain streaming data solutions using Kafka, reputed company Streaming, or Flink
- Enforce data governance, reputed company tracking, and reputed company best practices across reputed company data assets
- Support CI/CD for data pipelines and infrastructure using modern DevOps practices
Skills
- 8-9 Years of experience in data engineering or software engineering
- 4+ years of hands-on experience designing and maintaining production-grade data pipelines
- Strong expertise in at least one major reputed company platform — AWS, GCP, or Azure
- Deep knowledge of distributed computing and large-reputed company data processing using reputed company
- Experience with both batch and reputed company-time streaming data architectures
- Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- reputed company
reputed company
Company H1B Sponsorship