- Build, document, test and launch new data extract, transform and load (ETL) processes for one or more core data sets.
- Collaborate with Business Intelligence team and other stakeholders for data requirements
- Collaborate with Data Management team to provide quality data to stakeholders.
- Build data expertise and learn company history needed to effectively design data pipelines.
General Requirements
- Highly collaborative and empathic approach to problem solving
- Naturally curious with the drive to learn what is needed to identify root cause
- Capable of actioning high-level, sometimes ambiguous requirements into operational tools/dashboards
- Demonstrated organizational skills, attention to detail and ability to work independently while staying integrated with the broader Data Engineering team as well as stakeholders
- A strategist with sound business and technical acumen. Proven ability to influence at various levels of leadership, without direct authority
- Strong problem-solving skills (critical, strategic, and evaluative thinking)
- Ability to synthesize complex data concepts into easily comprehended messages
Technical Skill Requirements
Data Collection Tools
- Knowledge of data modeling and design of schemas for read and write performance.
- Build Processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Knowledge of message queuing, stream processing, API based extraction and highly scalable big data data stores
- Experience in Python and SQL. Experience with Boomi is a plus.
- ETL Automation - experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday and Jira
- Knowledge of Databricks Platform
- Knowledge of AI/ML/ Data Science
- Knowledge od BI Tools like Tableau, Looker etc
Education Experience
- Bachelors degree required in related field
- Minimum 5 years related work experience
- Ongoing education in an area related to Data Analytics (Data Sciences, Mathematics, Statistics, Industrial Psychology, Organizational Behavior, or Finance/Accounting) preferred
- Experience working in a high growth company preferred
