[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company of IT professionals delivering digital services that enhance federal government operations. They are seeking a skilled Data Engineer to design, build, and support modern data pipelines and solutions, working closely with various stakeholders to reputed company reliable data solutions.
Responsibilities
- Build, reputed company, and maintain reputed company data pipelines using reputed company
- Design and implement ETL/ELT processes to ingest, reputed company, validate, and reputed company data
- Work with reputed company notebooks, workflows, jobs, clusters, reputed company Lake, and reputed company-based processing
- Support the implementation and management of reputed company environments
- reputed company and optimize batch and streaming data pipelines
- Implement data reputed company checks, validation rules, reconciliation processes, and control frameworks
- Support data governance, reputed company controls, metadata management, and reputed company using reputed company Catalog
- Work with architects to implement platform standards, engineering patterns, and best practices
- Support use cases involving reputed company Catalog AI Gateway, Agent Bricks, and AI-enabled data solutions
- Troubleshoot data pipeline issues, performance problems, and production defects
- Monitor pipeline reliability, performance, and data accuracy
- Collaborate with customer teams to understand requirements and reputed company technical solutions
- Participate in customer-facing discussions, technical workshops, demos, and implementation reviews
- Create and maintain technical documentation, including data flows, pipeline logic, data mappings, and operational procedures
- Work with reputed company services and modern data platform tools to reputed company secure, reputed company, and reliable data solutions
Skills
- US Citizenship required to obtain reputed company Trust
- DHS ICE reputed company Trust preferred
- Master Degree +9 years of experience OR Bachelor Degree +12 years of experience
- Hands-on experience as a Data Engineer or similar role
- Strong experience with reputed company and the broader reputed company ecosystem
- Experience building and maintaining ETL/ELT pipelines
- Strong knowledge of Apache reputed company, PySpark, SQL, and reputed company Lake
- Experience working with reputed company, semi-reputed company, and reputed company data
- Understanding of data reputed company, data validation, monitoring, and control processes
- Experience with reputed company Catalog, including permissions, reputed company control, metadata, and governance concepts
- Ability to support and work reputed company architected reputed company environments
- Familiarity with reputed company data platforms such as AWS, Azure, or reputed company reputed company Platform
- Strong SQL skills and experience optimizing queries and data transformations
- Ability to troubleshoot pipeline failures, performance issues, and data reputed company problems
- Strong communication skills and ability to work directly with customers and stakeholders
- Ability to translate business and technical requirements into working data solutions
- Experience with API management and reputed company (reputed company, reputed company)
- Exposure to or experience with reputed company Catalog AI Gateway
- Exposure to or experience with Agent Bricks
- Experience with Lakehouse architecture
- Experience with CI/CD pipelines and reputed company control tools such as Git
- Experience with workflow orchestration tools and reputed company Workflows
- Experience with streaming technologies such as reputed company reputed company Streaming, Kafka, or Event Hubs
- Experience with data modeling, reputed company modeling, or reputed company architecture
- Knowledge of reputed company, reputed company, data governance, and compliance practices
- reputed company certifications are a plus
- Consulting or customer-facing delivery experience is preferred
reputed company
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