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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Salesforce's Employee Success (ES) function is looking to support the development & transformation of our data product footprint from our People Insights & Data Intelligence team. A key pillar to this expansion is the development of a strong data foundation to support all of our core People Analytics needs across the ES landscape!

We're looking for an experienced data engineer to build data pipelines, metrics, and other products across all ES organizations, with particular regard to global rewards & talent. In this role, you will work with business partners across ES functions to understand business needs, translate them to technical requirements, wrangle data from various systems, and design automated data pipelines to drive insights. You will work with internal technology groups to automate the data collection and definition process.

The right candidate will have strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines. The candidate will also have strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, and strong project management skills. Experience with Workforce & Total Rewards data and metrics is a huge plus.

Responsibilities

* Actively develop, enhance and maintain data pipelines and workflows for marketing data and metrics.
* Work with ES teams across the organization and build data metric requirements, build quick POC's, document functional and technical requirements.
* Develop ETL pipelines from a variety of HR and other Enterprise systems through the use of
* Maintaining, deploying and code versioning the ETL process.
* Help in building POC solutions for new ES metrics & Data Products
* Design & develop easy, repeatable and reusable automation data frameworks.
* Responsible for end-to-end data management activities, including but not limited to identify fields, data lineage and integration, performing data quality checks, analysis and presenting data.
* Review and validate logical and physical design to ensure alignment with the defined solution architecture.
* Evaluate, determine root cause, and resolve critical issues.
* Collaborate with data scientists to support data needs and develop scalable architecture to deploy models.
* Work and collaborate with global teams across North America, EMEA and APAC.

Required Skills/Experience

* Bachelor's Degree in Computer Science or a related discipline, with 7+ years related information systems experience in a data engineering, data modeling, automation and analytics. People Analytics experience preferable.
* Proficiency with SQL, Bash and Python scripting is a must.
* Proficiency using orchestration software like Apache Airflow
* Proficiency using GIT for code standardization and versioning.
* Proficiency in foundational data warehousing concepts and data modeling
* Ability to interface across various technologies through API's
* Experience with AWS technologies like ECS, Aurora, Lambda, S3, and Sagemaker preferred.
* Experience using Snowflake and similar centralized data platforms
* Deep understanding of data engineering concepts, database designs, associated tools, system components, internal processes and architecture.
* Experience working with Analytics/Data Science teams
* Team-first mentality. Excellent interpersonal skills in order to build strong relationships that will be critical for the success in this role.
* Self-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines.
* Must be results oriented and able to move forward without complete information and with minimal supervision
* Experience with data visualization tools like Tableau is a plus.
* Experience working with globally distributed engineering teams preferred.
* Experience with Human Resources technology and work is a plus.

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