Role description:
As the Data Engineer role within the GSS and Office of Transformation group at Salesforce, you will work multi-functionally with business partners throughout the organization to analyze data integration needs, understand processes and policies that impact our data quality, design and implement solutions to improve and scale Salesforce’s data integration needs.
This individual must excel in data analysis, process improvement, building relationships in business and IT functions, problem-solving, and communication. S/he must act independently and lead the implementation and impacts of assigned projects, and demonstrate the ability to be successful in an unstructured, team-oriented environment.
The ideal candidate will have experience working with large, complex data sets, experience in the technology industry, exceptional analytical skills, and experience in developing technical solutions.
Responsibilities:
Architect, build and maintain scalable automated data pipelines ground up. Be an expert of stitching and calibrating data across various data sources
Create functioning ETL solutions to address constantly evolving business needs
Integrate new data management technologies and software engineering tools into existing structures
Support regular ad-hoc data querying based on partner's needs.
Build new and add features to existing solutions in Google App scripts & Salesforce API to integrate data from several data sources and improve mapping automation
Support the global business intelligence agenda and processes to make sure we provide consistent and accurate data across the organization
Qualifications:
Bachelor's/Master’s degree in Business Administration, Computing or any related field.
Demonstrated ability in business intelligence, data analytics, Big Data analytics or similar
Experience with developing robust and tested Python applications to support the data warehouse
Solid background in Data Warehousing concepts and schema design
Experience using business intelligence tools (Salesforce Einstein, Tableau, etc)
Strong problem solving with acute attention to detail and ability to meet critical metrics
Proficient in Salesforce Products
History of designing, building and launching extremely efficient & reliable data pipelines to move data (both large and small amounts) throughout a Data Warehouse.
Excellent presentation skills with proven communication capabilities and practices, both oral and written.
Standout teammate with the ability to think independently and consider multi-functional and downstream impacts
Passionate about striving for relentless improvement
Flexible working schedule with late night/early morning support hours if needed
Experience working for shared services organizations, major outsourced providers or management consulting firm
Ability to travel internationally when required (up to 10%)
Preferred qualifications:
Experience working with ETL tools (Tableau Prep, Alteryx.) and RDBMS & MPP databases (Redshift, PostgreSQL, Snowflake), with ability to optimize queries for high volume environments to build and maintain data pipelines
Experience in working with data related to daily functions of a Shared Services organization (e.g. incident ticket volume, ticket response and resolution time, spend, customer satisfaction)
Understanding of Procure to Pay or Order to Cash and business systems (Oracle, Coupa, Salesforce platform) a Plus
Experience in collaborating with remote teams
Strong verbal and written communication skills, excellent presentation skills, and strong influencing and negotiation skills
