Senior Data Engineer

Company Description NXT Move IT Solutions Inc. delivers cutting-edge IT services, consulting, and technology recruitment solutions that help businesses grow and innovate in the digital age. Headquartered in Toronto, Canada, the company supports clients across Canada, the U.S., and global markets with scalable, tailored technology offerings. Core services include application development, cloud architecture, DevOps, cybersecurity, data platforms, and enterprise systems, along with strategic digital transformation consulting. NXT Move IT Solutions also provides specialized tech recruitment, connecting organizations with high-performing technical talent for contract, permanent, and project-based roles. The company operates as a strategic technology partner, helping clients accelerate product scaling, cloud migration, and team building. Role Description This is a full-time remote role for a Senior Data Engineer. The Senior Data Engineer will design, build, and maintain scalable data pipelines and architectures to support analytics, reporting, and operational workflows. Responsibilities include implementing and optimizing ETL processes, developing and maintaining data warehouses and data models, and ensuring data quality, reliability, and security across multiple sources. The role involves collaborating closely with data analysts, data scientists, and engineering teams to understand requirements, translate them into technical solutions, and continuously improve data infrastructure. The Senior Data Engineer will also contribute to best practices, documentation, performance tuning, and the evaluation of new tools and technologies that strengthen the data ecosystem. Qualifications 7+ Years of Experience in Data Engineering required Candidates should possess strong Data Engineering skills, including building, optimizing, and maintaining data pipelines and data platforms. Candidates should possess skills in Data Modeling and Data Warehousing to design efficient schemas and support scalable analytics and reporting. Candidates should possess expertise in Extract Transform Load (ETL) processes to integrate, cleanse, and transform data from diverse sources. Candidates should possess capabilities in Data Analytics to support business insights, dashboards, and data-driven decision-making. Experience with cloud data platforms (e.g., AWS, Azure, GCP) and modern data frameworks or tools (e.g., Spark, Kafka, dbt) is highly beneficial. Strong proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java). Background in designing scalable, secure, and reliable data architectures, with familiarity in data governance and privacy best practices. Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively in remote and distributed teams. Apply through : [email protected]

The Senior Data Engineer will design, build, and maintain scalable data pipelines and architectures to support analytics and operational workflows. Responsibilities include optimizing ETL processes, developing data warehouses, and collaborating with cross-functional teams to improve data infrastructure.

Candidates must have at least 7 years of experience in data engineering with expertise in ETL, data modeling, and warehousing. Proficiency in SQL and a programming language like Python, Scala, or Java is required, along with a degree in Computer Science or a related field.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Engineering
• Data Modeling
• Data Warehousing
• ETL
• Data Analytics
• SQL
• Python
• Scala
• Java
• AWS
• Azure
• GCP
• Spark
• Kafka
• Dbt
• Data Architecture

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

16 janv. 2027