Senior Data Engineer
5 hours ago
As a Senior Data Engineer, you will be working on designing and maintaining our data Infrastructure and ETL processes under the direction of the Team Lead, or Senior Data Engineer.
This is a hybrid role based out of our office in Mississauga.
What you get to do every day
Build, monitor, and maintain ETL processes in AWS and Databricks.
Develop and optimize scalable, high-performance data architectures (e.g., data lakes, data warehouses) that support complex queries and large datasets.
Integrate data from diverse sources (APIs, databases, third-party systems) into unified formats for analysis, ensuring consistency and accuracy.
Design and implement dimensional models, including fact and dimension tables, utilizing star and snowflake schemas to optimize data retrieval and reporting in data warehouses.
Continuously optimize query performance, storage solutions, and data workflows to minimize latency and improve processing speeds.Create and maintain detailed technical documentation for data processes, workflows, and system configurations to ensure knowledge sharing and system maintainability
May travel to visit clients throughout North America to participate in design sessions and deliver technical presentations and training
Other duties as assigned.
What kind of person should you be?
Excellent written and verbal communication skills and an ability to maintain a high degree of professionalism in all client communications.
Ability to influence others, build relationships, manage conflicts, and handle negotiations.Excellent organization, time management, problem-solving, and analytical skills.
Proactive mindset and ability to work independently in a fast-paced environment focused on results.
Ability to handle pressure.
What skills do you need?
Undergraduate or Masters degree in Computer Science, Statistics, or Analytics.
5-7 years of cloud experience on any of the major cloud platforms (preferably AWS).
Hands-on experience with big data technologies like Spark, Kafka, or similar tools for managing large datasets and distributed processing (preferably Databricks/Confluent).
Good knowledge of AWS stack such as S3, DMS, Glue, Lambda.Experience working with modern data lake formats such as Apache Iceberg or Delta Lake.
Strong experience in optimizing Databricks and AWS workflows.
Proficiency in writing complex SQL queries, optimizing query performance, and managing relational databases
Preferable to have dbt or Looker skills.
What can you expect from us?
Award-winning culture that fosters growth, diversity and inclusion for all
Paid day off for your birthday
Access to LinkedIn learning courses
Continued education with our education reimbursement program
Flexible schedules
Free unlimited access to our refreshment stations (fully stocked with tea, coffee and other beverages)
Two paid days for volunteer opportunities
Well-being days
KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing the . Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.
While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements.
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America.
Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program.
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