Data Engineer
Tasks
- Analyze and evaluate processes and data
- Apply supervised and unsupervised machine learning techniques
- Define business issues and formulate recommendations
- Design real-time and batch processing systems
- Develop and redesign code
- Identify data inconsistencies
- Ingest data and build ETL pipelines
- Integrate data governance and security practices
- Model and manage data in data warehouses
- Monitor and assess data processes
- Perform data preprocessing
- Present findings and recommendations to management
Perks/Benefits
- N/A
Skills/Tech-stack
Batch Processing | Big Data | Card domain | Cloud Data | Cloud data management | Cloudera | Credit Card Domain | Credit card | Data Governance | Data Ingestion | Data Management | Data Modeling | Data Preprocessing | Data Security | Data Warehousing | ETL | Hadoop | Hive | Machine Learning | Performance Management | Python | Real Time | Real-time Processing | Retail Banking | SQL | Scala | Spark | Supervised Learning | Talend | Time processing | Unix Scripting | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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