Data Engineer

 Responsiblities:

• Developing and maintaining scalable reusable data pipelines for both streaming and batch requirements to support continuing increases in data volume and complexity for user accesses via dashboard report, self-service data platform to structured and unstructured data.
• Data processing & QC checks across multiple layers of data warehouses, combination of multiple internal and external data sets.
• Onboarding, consolidating, cleansing, and structuring data for efficient use in reports, analytical applications, and machine learning models.
• Performing data analysis and reconciliation on datasets of varying sizes and complexities.
• Seeking ways to reduce business as usual application related costs and increase efficiencies of data operations.
• Guiding and mentoring team made up of data engineers and associate data engineers.

Key Skills:

• SQL Skills. 
• Data Modeling Techniques.
• Python Skills. 
• Hadoop for Big Data Skills. 
• AWS Cloud Services Skills.

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