Apply on Kit Job: kitjob.ca/job/2fsedh

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services.This role is open to remote candidates in the US and Canada (Ontario) with preference for candidates in our HQ locations—DC Metro, Chicago Metro, Toronto Metro.At this time, this role is not eligible for candidates requiring sponsorship in order to work in the US.Primary ResponsibilitiesUtilize consulting and technical skills to be able to work in a client-facing project environment independentlyBe responsible for your own execution and often others' on client projects, communicating directly with internal and external stakeholders on status updates and potential roadblocksCollaborate with other team members to successfully deliver on projectsWork effectively and directly communicate with both internal and client and/or partner teamsDevelop full ownership of your execution on client engagements, play a role in the project planning and solution stages of engagements as wellSuccessfully lead small Data Engineering projects and workstreams with measurable performance enhancements typically under the management of an engagement lead, or may play the part of the ELLead the end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformationMentor junior data engineers,



and their growth is evident in their project contributionsSuccessfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead—may also play the role of an engagement leadContribute to real-time data processing solutions and managed streaming dataImplement security and compliance measures for data pipelinesDesign and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environmentsIdeal Candidate's Skills and ExperiencesB.S. in Computer Science or equivalent4-6 years' experience in data engineering and big data. At least 2 years' of skilled services experience interacting directly with clientsExtensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks a mustDatabricks Data Engineer Professional certification a plusData modeling and database design skills and knowledge of version controlExcellent verbal and written communication skillsExperience architecting scalable and fault-tolerant data solutions across Azure, AWS, and DatabricksUnderstands and utilizes Lovelytics tools and client toolsPreference for candidates with Databricks Professional certificationsWhat We Promise YouExciting projects with great clients in varying departments and verticals across the worldThe ability to work closely with experienced data engineers and quickly grow and expand your skillsetThe ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businessesA workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processesA diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be betterLovelytics is an Equal Opportunity Employer. This means you don't have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.#J-18808-Ljbffr

Apply on Kit Job: kitjob.ca/job/2fsedh

📌 Principal Consultant, Data Engineer (Level 4) (Toronto)
🏢 Lovelytics
📍 Toronto