Data Engineer
2 weeks ago
Role: Data Engineer with Snowflake and Airflow experience
Location: Montreal, QC (Hybrid)
Job Type: Contract
Job Description:
Key Responsibilities:
Architect and design scalable, high-performance data solutions using technologies like Snowflake, Airflow, and DBT.
Hands-on experience with Apache Airflow for orchestrating complex data workflows.
Must be analytic, creative and self-motivated.
- ETL tool DBT, Advanced SQL along with good Python scripting skill Data Modelling and source to target mapping skills.
- Excellent SQL coding skills.
- Oversee the development and maintenance of a cloud data warehouse, alongside the associated data pipelines.
- Establish and enforce data architecture standards, ensuring long-term maintainability and alignment with best practices.
- Monitor platform performance, identify potential bottlenecks, and implement solutions to optimize efficiency.
- Implement robust security protocols to safeguard sensitive information.
- Work Effectively within a global team environment. Conduct peer code reviews and provide technical mentorship to junior team members.
- Contribute to a high-performing data engineering team, fostering a culture of continuous learning, innovation, and collaboration.
Qualifications:
- Minimum of 5 years of experience in data engineering, with a strong focus on data pipelines, architecture, and cloud-based solutions.
- Expertise in Airflow and proficiency in Snowflake.
- Advanced SQL skills and proficiency in at least one programming language (Python, Java, or Scala).
- Strong understanding of data modeling, governance, ETL processes, and performance tuning in distributed environments.
- Proven experience in leading and managing technical teams.
- Excellent communication skills, with the ability to articulate complex concepts to both technical and non-technical stakeholders.
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Thanks & Regards
Faraz Khan
Signature IT World Inc.
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