Data Engineer III
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Job Description
Data Engineer optimizing data pipeline architecture for analytics initiatives and collaborating with cross-functional teams. Supporting data analysts to ensure optimal data delivery architecture.
Responsibilities:
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for team members to assist them in building and optimizing analytics production.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Other duties as required.
Requirements:
- Bachelor’s degree (B.S/B.A) from four-college or university and 5 to 8 years’ related experience and/or training; or equivalent combination of education and experience
- Networks with senior internal and external personnel in own area of expertise
- Demonstrates good judgment in selecting methods and techniques for obtaining solutions
- Proficiency in languages SAS, Python, Java, and MatLab
- ETL (Extract, Transform, and Load)
- Database - SQL and NoSQL
- Data Warehousing – Hadoop, MapReduce, HIVE, Presto
- Operating system: UNIX, Linux
- Follows standard practice and procedures when analyzing situations or data
- Programming language: Javascript, R
- Basic Machine Learning
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