Data Engineer
Tasks
- Build and maintain ETL and ELT workflows
- Build data warehouses and data lakes
- Collaborate with clients on data architecture
- Design and develop data pipelines
- Ensure data governance, security, and privacy
- Implement data preprocessing and feature engineering
- Implement data quality checks
- Mentor junior team members
- Model data for reporting and machine learning
- Monitor pipelines in production and meet SLAs
- Optimize data processing jobs and SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Cloud Data | Cloud Data Platforms | Data Factory | Data Governance | Data Lake | Data Lakes | Data Modeling | Data Preprocessing | Data Quality | Data Security | Data Warehousing | Data platforms | Databricks | ELT | ETL | Feature Engineering | Machine Learning | PySpark | Python | SQL | SQL Database | SQLAlchemy | Snowflake Schema | Spark | Star Schema | Synapse Analytics
Education
N/A
Roles
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