- 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,
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and data warehouses.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Requirements
- We are seeking a candidate with 5 years of experience in a Data Engineer/Data Entry role, who has attained an undergraduate degree in Computer Science, Statistics, Information Technology, Information Systems or Industrial Engineering. Experience in operating retail ERP software is a plus. They should also have experience using the following software/tools:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) on Cube as well as working familiarity with data warehousing architecture.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions.
- Strong analytic skills while working with and cleaning unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Strong organizational skills.