Senior Software Developer - Data Engineering-2
USD 158K-215K Senior-level Full Time
Tasks
- Adopt data management tools for cataloging lineage observability
- Architect end to end data integration solutions
- Build ETL ELT workflows for data transformation
- Build curated data sets and semantic models
- Collaborate with cross-functional teams on data needs
- Coordinate with infrastructure and DevOps for CI CD and infrastructure as code
- Define data set SLAs and quality metrics
- Design AWS GovCloud data lakehouse strategy
- Develop scalable data pipelines for legacy ingestion
- Implement data quality checks and monitoring
- Implement data tagging classification and metadata governance
- Implement security and access control models
- Lead data architecture for migrations
- Maintain domain data pipelines and reliability
- Mentor data engineers and enforce best practices
- Optimize pipeline performance and storage layouts
- Optimize reusable shared data components
- Own end to end data ecosystem for domains
- Provide data engineering technical leadership
Perks/Benefits
- Drug-free workplace
- Flexible spending accounts
- Health insurance
- Health savings accounts
- Hybrid onsite 2 days per week
- Life and disability insurance
- Paid time away from work
- Relocation assistance not provided
- Retirement savings plans
- Travel up to 10% per year
- Unpaid time away from work
Skills/Tech-stack
AWS Glue | AWS GovCloud | AWS Lambda | Access Control | Amazon Athena | Amazon Redshift | Amazon S3 | Anomaly Detection | CI/CD | Data Catalog | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data Vault | Dimensional Modeling | ELT | EMR | ETL | Encryption | Infrastructure as Code | Kinesis | Metadata | Metadata tagging | Normalized modeling | Observability | Parquet | Role-Based Access | Role-Based Access Control | SQL | Spark | Step Functions | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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