Senior Data Engineer
USD 141K-168K Senior-level Full Time
Tasks
- Collaborate on Data Platform Strategy
- Define data engineering best practices
- Develop ETL/ELT solutions
- Drive automation and orchestration
- Implement data quality observability governance
- Integrate diverse data sources
- Lead data pipeline design
- Own data ingestion frameworks
- Provide technical mentorship through code reviews
- Troubleshoot production issues
Perks/Benefits
- Comprehensive dental coverage
- Comprehensive medical coverage
- Educational reimbursement
- Employee discount programs
- Fitness reimbursements
- Paid Holidays
- Paid maternity/paternity leave
- Paid time off
- Professional development opportunities
- Retirement benefits
Skills/Tech-stack
API Integration | Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure Fabric | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Architecture | Data Factory | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data virtualization | Databricks | Databricks Workflows | DevOps Automation | ELT | ETL | Fivetran | Informatica | Lakeflow | Metadata Management | SAP BW | SAP S4HANA | Snowflake | Spark | Streaming Data | Streaming data architecture | Synapse Analytics | Version control
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
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