Duties and 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 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.
- Work with stakeholders including Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data science team members that assist in building and optimizing products to become an innovative industry leader.
Qualifications and Experience:
- Bachelor of Information Technology/ Computer Science or any related discipline with a minimum of 6 years of experience
- Or Master of Information Technology/ Computer Science or any related discipline with a minimum of 5 years of experience
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processing to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Experience with big data tools
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools
- Experience with stream-processing systems
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Languages:
- Excellent command of written and spoken English.
Skills:
- A leading and creative person.
- High ability to communicate with others.
- The ability to work under pressure.