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Careers at Slalom

Data Integration Consultant
JO-1908-5713
Toronto
No

Slalom is a purpose-driven consulting firm that helps companies solve business problems and build for the future, with solutions spanning business advisory, customer experience, technology, and analytics. We partner with companies to push the boundaries of what’s possible—together.


Founded in 2001 and headquartered in Seattle, WA, Slalom has organically grown to over 6,000 employees. We were named one of Fortune’s 100 Best Companies to Work For in 2018 and are regularly recognized by our employees as a best place to work. You can find us in 28 cities across the U.S., U.K., and Canada.



Job Title:

Data Management and Integration Consultant/Analyst


Responsibilities: 

As a Data Consultant for Slalom Consulting, you'll work in various data projects covering different data domain such as data modeling and warehousing, data integration, data quality, and data governance. These projects will primarily involve cloud solutions but will also deal with source systems on premise. In this role, you’ll be using modern data architecture tools including cloud solutions (AWS/Azure/GCP/Snowflake), integration technologies (Boomi/Talend/Kafka/Cloud integrations). In addition to building the next generation of data platforms, you'll be working with some of the most forward-thinking organizations in data and analytics.

You will also be providing advice to clients on data architecture and data management, and help establish data governance best practices and supporting structures.


Qualifications:

  • Bachelor’s degree in Computer Engineering, Computer Science or related discipline
  • Minimum 2-7 years relevant experience (depending on level)
  • Relational Database Experience: Understanding of Data Modeling concepts (Dimensional and Normalization), knowledge of OLAP structures, SQL Performance Tuning
  • Experience and working knowledge in programming languages i.e. Python, Java etc.
  • Understand different types of storage (Relational, MPP, NoSQL) and working with different kinds of data (structured, unstructured, metrics, logs, etc.)
  • Experience with setting up and operating ETL/ELT pipelines
  • Data Integration experience (using Boomi, Talend, Informatica, MuleSoft, etc) 


Bonus/Nice to have:

  • Previous consulting experience 
  • Experience on AWS, GCP and/or Azure 
  • Experience working with databases such as Snowflake, Teradata, Netezza, Redshift
  • Experience with NoSQL Databases
  • Experience working with streaming technologies such a Kafka, Kinesis/Event Hubs/PubSub

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