Developer ETL I

Infotech Sourcing - San Francisco, CA

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



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.



  • 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 and Lightning

  • Experience with the Heroku platform

  • Experience with Agile

Posted On: Friday, January 18, 2019
Compensation: 115-125K per annum

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