Data Engineer
Tasks
- Automate data workflows and scheduling
- Build data solutions for analytics reporting and operational use cases
- Collaborate with data science business and engineering teams
- Design ETL ELT pipelines for structured and unstructured data
- Develop and enhance data warehouses data lakes and lakehouse platforms
- Develop optimize data models database schemas and storage structures
- Document data architectures data flows and technical designs
- Ensure data integrity governance security and compliance
- Implement data validation cleansing transformation and quality assurance
- Integrate data from internal and external systems
- Monitor troubleshoot and optimize data pipelines
- Perform code reviews and promote engineering best practices
- Support data migration modernization and cloud transformation
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AWS | Apache Spark | Automation | Azure | Big Data | CI/CD | Cloud Platforms | Cloud platform | Data Cleansing | Data Governance | Data Lake | Data Modeling | Data Quality | Data Security | Data Transformation | Data Validation | Data Warehouse | Data pipeline | Databricks | DevOps | ELT | ETL | Google Cloud | Google Cloud Platform | Java | Lakehouse | NoSQL Databases | Python | Relational databases | SQL | Scala | Snowflake | Workflow Orchestration
Roles
Regions
Countries
States
Cities
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