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Chief Data Architect
2 weeks ago
Job Overview
As a skilled Data Engineer, you will play a crucial role in designing and building data applications that meet the business needs of our clients.
Key Responsibilities:
- Design and implement scalable data pipelines to automate the ingestion, transformation, and augmentation of both structured and unstructured data.
- Collaborate with stakeholders to gather requirements and own the automated end-to-end data engineering solutions.
- Identify and design process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers.
- Implement Data Governance best practices and provide advice and ideas for technical solutions and improvements to data systems.
- Develop clear documentation on data models/schemas as well as transformation/validation rules.
- Implement tools that help data consumers to extract, analyze, and visualize data faster through data pipelines.
- Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for batch ETL's.
Requirements:
- A minimum of 7 years of hands-on experience in SQL database design, data architecture, ETL, Data Warehousing, Data Mart, Data Lake, Big Data, Cloud (AWS), and Data Governance domains.