Data Engineer

• Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
• Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.
• Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations.
• Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality.
• Assemble large, complex sets of data that meet non-functional and functional business requirements
• Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes?
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition?
• Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues.
• Write unit and integration tests for all data processing code.
• Work with DevOps engineers on CI, CD, and IaC.
• Read specs and translate them into code and design documents.
• Perform code reviews and develop processes for improving code quality.
• Perform other duties as assigned.

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