Data Engineer (Databricks)

Forcepoint simplifies security for global businesses and governments. Forcepoint’s all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft or loss of sensitive data and intellectual property no matter where people are working. 20+ years in business. 2.7k employees. 150 countries. 11k+ customers. 300+ patents. If our mission excites you, you’re in the right place; we want you to bring your own energy to help us create a safer world. All we’re missing is you!

Responsibilities

• 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

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Forcepoint simplifies security for global businesses and governments. Forcepoint’s all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft or loss of sensitive data and intellectual property no matter where people are working. 20+ years in business. 2.7k employees. 150 countries. 11k+ customers. 300+ patents. If our mission excites you, you’re in the right place; we want you to bring your own energy to help us create a safer world. All we’re missing is you!

Responsibilities

• 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

• 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