Data Engineer
United States - Remote
R
USD 135K-178K (estimate) Senior-level Full Time
Tasks
- Automate build test and deployment for ETL workflows
- Build pipelines to ingest parse and normalize XBRL
- Build scalable data ingestion frameworks
- Design and implement CI CD pipelines for data and analytics
- Design and implement materialized views for performance
- Design, develop, and maintain ETL/ELT pipelines
- Develop and manage AWS data platforms
- Enable automated lineage tracking and data quality monitoring
- Ensure data pipeline reliability, performance, and scalability
- Implement DataOps version control testing and environment promotion
- Implement and optimize Apache Iceberg table formats
- Implement data modeling for usability discoverability and governance
- Implement data transformation logic for analytics and reporting
- Integrate pipelines with data catalog and metadata management
- Optimize data storage and retrieval strategies
- Support data governance and AI data readiness
- Support lakehouse architecture
- Tune queries and pipelines for scalability and cost
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Amazon Redshift | Apache Airflow | Apache Iceberg | Apache Spark | CI/CD | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | DataOps | ELT | ETL | GitHub Actions | GitLab CI | Infrastructure as Code | Jenkins | Kafka | Materialized views | Python | SQL | Terraform | XBRL | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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