Senior Data Engineer
Tasks
- Architect data pipelines
- Create technical documentation and runbooks
- Design fault tolerant AWS architectures
- Develop data modeling frameworks
- Enforce data engineering best practices
- Implement data ingestion frameworks
- Implement security automation for data compliance
- Mentor junior engineers
- Optimize compute performance and cost
- Translate business requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Airflow | Amazon Redshift | Amazon S3 | Amazon SQS | Auditing | Avro | BigQuery | CI/CD | Caching | Clustering | DBT | Data Modeling | Databricks | Databricks Workflows | Delta Lake | Distributed Systems | ELT | ETL | Encryption at rest | Encryption in Transit | Event Driven | Event-driven architecture | GitLab | HIPAA | IAM | Indexing | Infrastructure as Code | JSON | Kafka | ORC | PHI Tokenization | Parquet | Partitioning | PySpark | Python | RBAC | SOC 2 | SQL | Snowflake | Snowflake Schema | SparkSQL | Star Schema | Streaming | Terraform | Z-ordering | “as-code”
Education
N/A
Roles
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