Senior Data Engineer
Tasks
- Build AWS data processing workflows
- Build data ingestion workflows with lineage audit traceability
- Build data products for Power BI dashboards and Salesforce reports
- Design data pipelines for ingestion reconciliation validation
- Develop API services for bidirectional integration
- Document data dictionaries lineage and runbooks
- Implement automated data quality validation reconciliation
- Implement data layer for MDBT modernization
- Maintain data security and privacy controls
- Partner on CI CD and infrastructure as code deployments
- Perform code reviews and mentor engineers
- Support AI ML pipelines with curated training and inference data
- Write unit and integration tests
Perks/Benefits
- 401(k) retirement benefits
- Dental insurance
- Disability insurance
- Employee support programs
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Remote work within Eastern time zone
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS Glue | AWS KMS | AWS S3 | Airflow | Amazon Athena | Amazon EMR | Amazon RDS | Amazon Redshift | Amazon Web Services | Apache Cassandra | Apache Hive | Apache Spark | CI/CD | Data Governance | Data Lineage | Data Quality | Data Reconciliation | Data Validation | Databricks | Encryption | FIPS-140 | GitHub Actions | Infrastructure as Code | Java | KMS Managed Keys | Least Privilege | NoSQL | PostgreSQL | Power BI | Python | REST APIs | Relational databases | SOAP APIs | SQL | Salesforce | Terraform | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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