Staff Data Engineer
US-Headquarters, United States
USD 148K-182K (estimate) Senior-level Full Time
Tasks
- Apply best practices for data partitioning storage optimization and query tuning
- Build data transformations and ELT workflows using SQL and Python
- Continuously improve data engineering workflows and tooling
- Design and implement data models and curated datasets for analytics
- Ensure data quality consistency and reliability through validation monitoring and testing
- Lead design and development of scalable data pipelines and data products
- Optimize pipeline performance scalability and cost efficiency in AWS
- Provide technical leadership mentorship and code review guidance
- Translate product and analytics requirements into resilient data solutions
- Troubleshoot and resolve data pipeline failures latency issues and inconsistencies
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS Lambda | AWS S3 | Amazon Kinesis | Amazon Redshift | Apache Spark | CI/CD | Data Modeling | Data Partitioning | Data Quality | Data Validation | Data Warehousing | Databricks | Delta Lake | ELT | ETL | Monitoring | Python | Query Optimization | SQL | Testing
Education
N/A
Roles
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