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 looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform.
Responsibilities
- Integrate data from multiple sources, including databases, Amazon S3, files, and REST APIs.
- Build data pipelines with Databricks Unity Catalog.
- Implement business logic, data transformations, and dimensional data models.
- Create, schedule, monitor, and optimize Databricks Jobs and Workflows.
- Design and manage Delta Lake tables using Medallion Architecture (Bronze, Silver,Gold).
- Ensure data quality through validations, error handling, logging, and monitoring.
- Optimize Spark workloads for performance, scalability, and reliability.
- Collaborate with cross-functional teams to deliver production-ready data solutions.
- Hands-on experience with the Databricks Lakehouse Platform.
- Good understanding of Unity Catalog, Delta Lake, Databricks Workflows/Jobs,
- Strong expertise in Python, PySpark, and Advanced SQL.
Qualifications
- Strong knowledge of ETL/ELT development, batch processing, incremental loading,
- Understanding of data warehousing concepts and best practices.
- Knowledge of partitioning, file optimization, Spark performance tuning, and query
- Databricks certification is an added advantage.
Nice to have
- 4+ years of
- experience in Data Engineering with 2+ years of hands-on Databricks experience.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Forward - Technical Data Engineer (Databricks) at ShyftLabs?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ShyftLabs may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Forward - Technical Data Engineer (Databricks) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Forward - Technical Data Engineer (Databricks) remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Forward - Technical Data Engineer (Databricks) role at ShyftLabs?
- This is a mid-level Forward - Technical Data Engineer (Databricks) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.