Sr. Data Engineer/Lead Data Engineer
- Canada
- Télétravail
- Publié 11 sept. 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Chef d’équipe · 14+ ans
- Formation minimale
- Baccalauréat
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte
Résumé du poste
Build and optimize production data pipelines while managing data integration and quality. Responsible for implementing Snowflake features and ensuring efficient data warehousing and modeling.
Détails du poste
Role : Sr. Data Engineer/Lead Data Engineer Location : Canada - remote Exp: 15+ Years Must-Have Skills: 🔹 Snowflake – RBAC, Streams, Time Travel, Virtual Warehouse 🔹 Advanced SQL – Complex Queries, Stored Procedures, Views 🔹 ETL/ELT & Data Pipelines 🔹 Airflow / Azure Data Factory / Informatica / Matillion / dbt 🔹 Python / Java / C# 🔹 AWS / Azure / GCP 🔹 Data Warehousing & Data Modeling 🔹 Data Integration, Data Quality & Governance ⭐ Strong hands-on experience building and optimizing production data pipelines is required. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field 14+ years of experience in Information Technology 10+ years of experience as a Data Engineer or related role Strong SQL development experience including SQL queries and stored procedures Experience with data orchestration tools such as Apache Airflow, Azure Data Factory, Informatica, Matillion, dbt, or equivalent technologies. Hands on experience with a modern cloud data platform such as Snowflake or comparable platform. Experience integrating data from platforms such as SAP, Salesforce, Shopify, or similar enterprise applications. Strong experience building, maintaining and documenting data pipelines Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features is preferred. Well versed in data standardization, cleansing, enrichment, and modeling Proficiency in one or more programming languages such as Python, Java, or C# Experience with cloud computing platforms such as AWS, Azure, or GCP Knowledge of ELT/ETL processes, data warehousing, and data modeling Familiarity with data security and governance best practices Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes Strong communication and collaboration skills
Ce que vous ferez
Build and optimize production data pipelines while managing data integration and quality. Responsible for implementing Snowflake features and ensuring efficient data warehousing and modeling.
Exigences
Requires 14+ years of IT experience with a strong focus on SQL development and cloud data platforms like Snowflake. A Bachelor's or Master's degree in Computer Science or a related field is required.
Compétences indiquées
- Microsoft Azure · Souhaitée
- Amazon Web Services · Souhaitée
- Java · Souhaitée
- Google Cloud · Souhaitée
- C++ · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Snowflake
- Advanced SQL
- ETL/ELT
- Data Pipelines
- Apache Airflow
- Azure Data Factory
- Informatica
- Matillion
- dbt
- Python
- Java
- C#
- AWS
- Azure
- GCP
- Data Modeling
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
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