ShyftLabs
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Business consulting · 51 to 200 Employees · Toronto, Canada
Hiring: Engineering
What employees say
+ Strong learning opportunities with modern technologies. Collaborative and supportive work environment. Exposure to global clients and enterprise projects. Good work-life balance (d
− Career growth opportunities may vary depending on the project. Internal processes can sometimes be slow. Workload and work-life balance depend on the client engagement. Limited ons
More reviews on the company profile.
Interview experience · AI/ML Engineer Intern
Based on Machine Learning and SQL, along with 2 linked list DSA questions in interview. But they were more interested to hire backend developers rather than ML engineers, but one of my friend got the offer for AI role du
Average difficulty · Noida · 8 reports
More interview insightsJob description
Overview
We are seeking a Data Engineer to join a client-focused engagement, with responsibilities split evenly between production support and technical/development work.
Responsibilities
- Provide day-to-day support (50%) for existing data pipelines, jobs, and platforms - monitoring, troubleshooting, and resolving issues to ensure smooth operations
- Design, build, and maintain (50%) scalable data pipelines and ETL/ELT workflowsusing Python, SQL, and Spark
- Collaborate with cross-functional and client teams to understand data requirementsand translate them into technical solutions
- Perform root-cause analysis on data/pipeline issues and implement fixes withminimal downtime
- Optimize existing data workflows for performance, reliability, and cost-efficiency
- Document processes, pipeline architecture, and support runbooks for knowledgecontinuity
- Participate in on-call/support rotations as needed for the client engagement
- Work with Databricks and/or AWS cloud environments where applicable to build orsupport data solutions
Qualifications
- 2-4 years of experience in a Data Engineering role
- Strong proficiency in Python and SQL
- Hands-on experience with Apache Spark
- Prior experience working on client-based projects (mandatory)
- Ability to work across both support and development responsibilities
- Strong problem-solving and communication skills for client-facing situations
- Familiarity with AWS Cloud services (e.g., S3, Glue, EMR, Lambda, Redshift)
- Exposure to CI/CD pipelines for data engineering workflows
- We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
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