Sr. Data Engineer @ Lightcast
placeQuebec, Quebec, Canada
attach_money $130,000
businessOn Site
scheduleFull time
Posted 2 days ago
Your Application Journey
Interview
Email Hiring Manager
****** @lightcast.com
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Job Details
About the Role
The Sr. Data Engineer at Lightcast is responsible for designing, building, and maintaining the data infrastructure that supports analytics, machine learning, and enterprise decision-making. This role involves developing scalable big data frameworks and delivering high-performing software solutions that drive measurable outcomes.
Key Responsibilities
- Design, build, and maintain scalable data pipelines (batch & streaming) for analytics, reporting, and ML.
- Architect applications and automated tools by translating complex requirements into solutions.
- Define hardware and software solutions ensuring high performance and scalability.
- Establish standards for data integration, modeling, and schema design.
- Optimize SQL queries, monitor pipelines, and ensure data quality and consistency.
- Implement engineering best practices including version control, CI/CD, testing, and code reviews.
- Collaborate closely with engineering, analytics, and product teams.
- Mentor junior engineers and provide cross-team technical support.
- Evaluate and recommend new tools, frameworks, and technologies.
- Ensure compliance with data security and governance regulations (GDPR, CCPA).
Education & Experience
Bachelor’s in Computer Science or a related field (Master’s preferred) with 5+ years in data engineering, software engineering, or data science. Must have expert SQL skills, proven Snowflake expertise, and hands-on experience with ETL/ELT pipelines, API/event/log integration, plus proficiency in AWS data services, modern languages (Python preferred) and DBT.
Key skills/competency
- Data Pipelines
- SQL Optimization
- Snowflake
- ETL/ELT
- AWS
- Data Modeling
- Big Data
- CI/CD
- Python
- Mentoring
How to Get Hired at Lightcast
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to data engineering demands.
- Highlight SQL expertise: Emphasize complex query optimization experience.
- Showcase big data: Demonstrate scalable pipeline projects.
- Prepare for interviews: Practice technical and behavioral questions.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query optimization techniques.
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Practice building ETL pipelines.
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Study AWS data engineering services.
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Work on distributed system projects.
Behavioral Questions
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Discuss past team collaboration experiences.
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Describe a challenging project problem.
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Explain mentorship and leadership styles.
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Detail approach to conflict resolution.
Frequently Asked Questions
What technical skills are vital for the Sr. Data Engineer role at Lightcast?
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How does Lightcast support career growth for a Sr. Data Engineer?
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What are the core responsibilities for Lightcast's Sr. Data Engineer?
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Does the Sr. Data Engineer role at Lightcast involve collaboration across teams?
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What educational background is preferred for Lightcast's Sr. Data Engineer?
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