DATA Engineer

STRATIS Cloud Tech Solutions INC; Canada; On-site; CAD 80,000 - 100,000; Full time

Job summary

A technology solutions provider is seeking a skilled Data Engineer to design and maintain scalable data pipelines across AWS, GCP, and Azure. The ideal candidate should have over 6 years of experience and a degree in Computer Science or IT. The role involves ensuring data quality and implementing ETL processes, all within a collaborative team environment offering competitive salary and growth opportunities.

Benefits

Competitive salary and benefits

Growth and learning opportunities

Friendly and collaborative team environment

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 6 years of experience as Data Engineer.
• Strong understanding of big data tools and cloud-based data ecosystems.

Responsibilities

• Design and develop scalable ETL/ELT pipelines.
• Build and maintain cloud-based data architectures.
• Ensure data quality, security, and governance.

Skills

AWS

GCP

Azure

ETL/ELT processes

Data modeling

Data quality assurance

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Technology

Tools

AWS Glue

Azure Data Factory

Google Cloud Dataflow

Redshift

BigQuery

Synapse

Job description

About SCTS:

We offer software development and consulting services that are made to fit real challenges—not generic ones. Whether you’re improving a process or launching something new, we help you move smarter, faster, and with less stress.

Job Summary:

We are seeking a highly skilled and motivated Data Engineer with proven experience across AWS, GCP, and Azure cloud platforms. The ideal candidate will be responsible for designing, building, and maintaining scalable and reliable data pipelines and architectures that support advanced analytics and business intelligence. You will work closely with data scientists, analysts, and cross-functional teams to ensure the efficient movement, transformation, and availability of data across cloud environments. This role requires a strong understanding of big data tools, ETL/ELT processes, and modern cloud-based data ecosystems.

Key Responsibilities:

• Design and develop scalable ETL/ELT pipelines to ingest, process, and transform structured and unstructured data from multiple sources across AWS, GCP, and Azure.
• Build and maintain cloud-based data architectures, including data lakes, data warehouses (e.g., Redshift, BigQuery, Synapse), and real-time streaming solutions.
• Develop and optimize data models and schemas to support analytics, reporting, and machine learning workloads.
• Ensure data quality, security, and governance by implementing best practices, monitoring data flows, and enforcing access controls across multi-cloud platforms.
• Automate data workflows using cloud-native tools such as AWS Glue, Azure Data Factory, and Google Cloud Dataflow.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs and deliver reliable, well-documented datasets.
• Monitor and troubleshoot pipeline performance, optimize cloud costs, and support production systems with on-call coverage as needed.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 6 years of experience as Data Engineer.

What We Offer:

• Competitive salary and benefits
• Growth and learning opportunities
• Friendly and collaborative team environment