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Sr. Data Engineer - Salesforce Data Cloud

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree or equivalent experience required, Minimum 7 years overall experience, 5+ years in Data Engineering role, 1+ years with Salesforce Data Cloud implementations, 2+ years hands-on experience in Azure.

Key responsabilities:

  • Develop and optimize cloud data solutions
  • Assist users with technical solutions and requirements
  • Research and analyze Salesforce data cloud capabilities
  • Maintain system documentation and improve data quality
  • Plan and execute data integration strategies
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DeVry University Education Large https://www.devry.edu/
1001 - 5000 Employees
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Job description

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.


Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners.


Opportunity


As an Senior IT Data Engineer, you will be responsible for developing, implementing and optimizing modern cloud data solutions on Salesforce Data Cloud, and the Azure Synapse platform in an agile environment. You will be instrumental in supporting migrations of existing integrations and data models to the Microsoft Azure and Salesforce Data cloud.


Responsibilities

  • Assist business users with technical solutions
  • Gather requirements, perform data analysis and profile data to design appropriate solutions
  • Research Salesforce.com data cloud capabilities as needed to satisfy business requirements, and provide gap analysis
  • Author and Maintain System Configuration Documentation.
  • Work with the latest AI technologies to simplify the development process.
  • Be a thought leader in how to best leverage Salesforce data cloud capabilities to improve organizational efficiency and effectiveness using improved features/functionality or process improvement;
  • Develop data models and segments for data of interest to be pulled into the University Data Hub and Salesforce Data Cloud.
  • Improve data usability, reliability, efficiency, security, and quality in adherence with industry best practices (e.g., change data capture, data quality monitoring, user access provisioning) and platform governance
  • Data ingestion and -consumption capacity-, and performance planning and optimization in support of Analytical- and Machine learning initiatives
  • Plan and execute data integration strategies and approaches for batch and near real-time data Acquire, ingest, and process data from multiple source systems into the data lake
  • Design, develop, document, and test ADF data pipelines that ingest and store data from structured and unstructured sources within the Azure data platform

Qualifications

  • Bachelor's degree or equivalent work experience required.
  • Minimum 7 years of overall experience with 5+ years of experience working in a Data Engineering role or building and maintaining data solutions
  • 1+ years of relevant experience working with Salesforce Data Cloud implementations (Salesforce Data Cloud Consultant certification preferred)
  • 2+ years of hands-on experience working in Azure, including Data Factory, SQL query development, Synapse, and Data Lake Storage
  • The ideal candidate will be an energetic self-starter who can assess complex data problems, take ownership and drive for results, combines strong analytical skills with a focus on detail, thoroughness, and quality, and is a team player who can work independently but with a passion for sharing knowledge with others.
  • Ideally:
  • Some experience using Google Cloud Platform / BigQuery – and/or –
  • Some experience using PowerBI or similar Data Visualization tools – and/or –
  • Some experience with Data preparation or data profiling tools – and/or –
  • Knowledge of data lineage and data governance


This position may be bonus eligible

This position will be posted until filled


DeVry University offers competitive wages and benefit options, including:


  • 401(k) and Roth Plan w/match
  • Medical, Dental and Vision Coverage
  • Paid Parental Leave
  • Health Advocacy Service
  • Family and Domestic Partner Coverage
  • Tax Savings Account (FSA and HSA)
  • Short-Term/Long-Term Disability Coverage
  • Life, Accident, AD&D, Critical Illness Insurance
  • Fertility Coverage
  • Wellness Programs
  • Volunteer Time Off
  • Remote and Flex Work Options
  • Technology Stipend
  • Paid Tuition Program
  • Auto/Homeowners, Pet and Legal Insurance
  • Exclusive Discount Programs
  • Adoption Assistance
  • Career Development Programs
  • Mental Health Care Programs
  • Family Care Services
  • 2nd.MD, a virtual expert medical consultation service




Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits.


We believe diversity is essential to our educational mission and to the success of our community. We are committed to fostering a working environment where differences are respected, valued and embraced.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Education
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Analytical Thinking
  • Teamwork
  • Detail Oriented
  • Problem Solving

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