Data Engineer
Tasks
- Apply data governance standards
- Build ETL and ELT workflows
- Collaborate with clients on data architecture
- Design and develop data pipelines
- Develop and manage data lakes
- Engineer features for machine learning
- Ensure data security and privacy compliance
- Ensure reliability scalability and SLA compliance
- Implement data quality checks
- Model and optimize data for warehousing
- Monitor pipelines in production
- Optimize data processing jobs
- Preprocess data for machine learning
- Provide mentorship and code review
- Tune SQL queries for performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure SQL | Azure Synapse | Data Factory | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehousing | Data pipeline | ELT | ETL | Feature Engineering | Machine Learning | PySpark | Python | SQL | SQLAlchemy
Education
N/A
Roles
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