Salesforce Data Engineer

Smarter Thinking. Real Results. Technology consulting has been our story for over 14 years. Companies from all industries partner with us for our innovative mindset to help them digitally transform to create market advantages, become resilient, and prepare for what’s next. With us, the possible becomes actual.

We provide strategic and innovative consulting services focused on digital experiences, engineering, automation, data and analytics, and salesforce solutions. Saggezza consultants work as part of a global team, and throughout their tenure, have the opportunity to work on a variety of different projects across various clients and industries. We are chartered to do one thing, and one thing only – to bring enabling technology to our clients that allow them to move their business forward.

The Role

• We are looking for a talented Data Engineer to join a strong engineering team focused on CRM and Salesforce platform adoption. This is an opportunity to be part of a team responsible for building a brand new successful, sustainable and strategic CRM product for 3000+ users in the Financial Services Business.

Responsibilities:

• As a data engineer working in a multi-disciplinary team, you will support building a robust data pipeline to fulfil data movement to/from Salesforce CRM to multiple backends hosted on-premises and in AWS
• Build robust data models with an eye on optimizing the data platform and reducing complexity and inefficiency in the process
• Employ best practices when implementing data pipelines, transformations, modelling.
• Proactively employ modern techniques to debug data issues
• Work collaboratively with cross functional colleagues to improve data quality and build a cohesive data economy
• Be a role model in driving data governance, data quality, modern data practices in the work areas you own

 
Qualifications:

• Deep working knowledge of Informatica Cloud and other cloud ETL tools such as AWS Data
• Pipelines.
• Have previously used Salesforce and interacted with its object model
• Working knowledge of cloud data warehouses, specifically Snowflake
• Mastery in SQL, data modeling and data warehousing concepts
• Deep expertise in programming in Python and using data analysis libraries such as Pandas
• Working knowledge of public cloud platforms such as AWS
• Experience with Data-ops and CICD

Preferred Qualifications:

• Experience in open source technologies such as Airflow, Beam, Flink, dbt
• Have used data visualization / analytics tools such as Tableau CRM
• Worked on event streaming pipelines using Kafka
• Deep experience in NoSQL and RDBMS such as MongoDB, Cassandra, Postgres, MS SQL Server
• Experience working in highly regulated environments

Don’t tick all the boxes? Don’t worry about it: we still want to hear from you if you think you’re the right person for the job.

Why Join Our Team?

• Diverse culture, experiences, and skills.
• Our nurturing and supportive environment fosters collaboration across the entire organization.
• We are not hierarchical but operate as a flat surface where every opinion matters, ideas are cultivated, and innovation is encouraged.
• At Saggezza, we are fortunate to have a strong mentorship program that provides every one of our employees the ability to thrive professionally and personally.
• We are only as good as our people. Saggezza, Italian for wisdom, is rooted in the perspective that knowledge is power. We create thought-leaders who are constantly exposed and trained in different technologies in the ever-evolving world of software development.
• We welcome innovators with entrepreneurial spirits to grow with our team. 
• Consulting Magazine - Fastest Growing Firms 2019
• Built-In Top Places to Work in Chicago 2020
• Best and Brightest Companies in the Nation 2019 and 2020, Best and Brightest Companies in Milwaukee 2020 and Best and Brightest Companies in Chicago 2020
• 2020 Inc. 5000 List - Honored as one of the fastest-growing private companies in America

Saggezza is an Equal Employment Opportunity Employer: We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law.

#LI-PC1