JOB TITLE: Developer ETL I (Enablement Analytics Data Engineer)
LOCATION: San Francisco, CA
DURATION: 6+ months contract, with possible extension or conversion
Leading Cloud-based CRM company
DESCRIPTION:
Enablement Analytics Data Engineer
As the Enablement Analytics Data Engineer you will be working closely with a team of software developers, database architects, business analysts and data scientists across the company to integrate data from various business systems, perform sophisticated data analysis, and build dashboards/tools to examine the data. The role focuses on integrating data from a wide variety of systems, maintaining databases, developing dashboards and helping drive business insights from data. You must be able to illustrate analytics with use of data visualization, in a concise and simple fashion for business users to understand. Most of all, you are curious, excited about optimizing or even re-designing our existing data architecture to support our next generation of products and data initiatives. You are self-directed and comfortable supporting the data needs of multiple teams, systems and products.
RESPONSIBILITIES:
Gather business requirements and translate them into functional and technical design and implementation plans
Build the infrastructure required to optimally extract, transform, and load data from multiple complex data sources
Assemble and maintain large, complex data sets that meet functional or non-functional business requirements
Build analytics with data visualizations to provide actionable insights into business performance
Support QA, UAT and Performance testing phases of development cycle
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work with a variety of stakeholders including the Business Executives, IT, Product and Design teams to assist with data-related requirements
REQUIRED SKILLS/EXPERIENCE:
Bachelor’s Degree in Computer Science or related field with 2+ years related experience in Data Engineering
Proficiency with data extraction mechanisms, data warehousing concepts, relational star-schema database designs, big data platforms and associated tools
2+ yrs proficiency with SQL and relational database models (like Postgres)
1-2 yrs experience with ETL tools (like Mulesoft, Jitterbit or Informatica)
1-2 yrs experience in Data Visualization tools
1-2 yrs experience with Python or Perl or Unix
Strong analytical and problem-solving skills
Excellent verbal and written communication skills; ability to communicate effectively with different levels of management, as well as the business and technical communities
Extremely adept at integrating disparate information and understanding data trends
Must be able to proactively communicate status and identify risks
Team-first mentality
Comfortable with changing requirements and priorities
Results oriented and able to move forward without complete information and with minimal supervision
PREFERRED SKILLS/EXPERIENCE:
Hands-on experience with developing and configuring Salesforce Einstein Analytics
Experience with Force.com and Lightning
Experience with the Heroku platform
Experience with Agile