#JR466870
ny 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
Bachelor's 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
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