
Data Pipeline Architect
2 days ago
Data Engineer Position Overview
We are seeking an experienced Data Engineer to build and maintain our data pipeline, optimize data flow and collection for cross-functional components. The ideal candidate has 5+ years of experience in a Data Engineer role and possesses expertise in big data tools, relational SQL and NoSQL databases, data pipeline and workflow management tools, AWS cloud services, stream-processing systems, and object-oriented/object function scripting languages such as Python.
Key Responsibilities:- Create and maintain optimal data architecture
- Assemble large, complex data sets that meet functional/non-functional business requirements
- Identify and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and AWS 'big data' technologies
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Required Skills and Qualifications:
- Advanced working knowledge of SQL and experience working with relational databases, query authoring (SQL), and familiarity with various databases
- Experience building and optimizing 'big data' data pipelines, architectures, and data sets
- Strong analytical skills related to working with unstructured datasets
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
Benefits:
- Opportunity to work with cutting-edge technology
- Flexible work environment
- Promotion opportunities based on performance
Other Opportunities:
- Professional development opportunities
- Collaborative team environment
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