Data engineer with SQL and Python expertise

Salary: $67000 - 67000 per year Requirements: Minimum of 3 years in a Data Engineering or similar hands-on data role Significant experience in designing and constructing data systems and infrastructure Proven track record in executing data migration projects including assessment, mapping, cleansing, and transition Strong understanding of data modeling concepts including OLTP vs OLAP design and dimensional modeling (Kimball) Proficient in SQL, with practical experience using relational databases such as PostgreSQL or Oracle Familiar with data quality methodologies including validation, monitoring, and anomaly detection Knowledge of storage and Lakehouse formats such as Parquet and Delta Lake, with an understanding of their functionalities Practical experience with cloud services like AWS, with knowledge of services like S3 and Glue, or equivalent in Azure or GCP Understanding of DevOps principles including Git, CI/CD for data, and infrastructure-as-code (preferably Terraform) Deep expertise in ETL/ELT processes and performance optimization strategies Strong ownership mentality with a pragmatic approach to delivering solutions Team-oriented with a collaborative attitude Responsibilities: Design and enhance the Lakehouse storage architecture across different layers Lead efforts for legacy data migration including assessing systems and managing data quality Set and maintain data quality standards through validation rules and anomaly detection Build and refine ETL/ELT data ingestion processes across various platforms Ensure production pipelines operate consistently with effective observability and performance management Utilize modern file formats to optimize performance and manage schema evolution Implement data security measures and governance protocols Collaborate with engineering and product teams to create scalable data solutions Contribute to the enhancement of data architecture and system reliability Technologies: AWS Azure CI/CD Cloud DevOps ETL GCP Git IoT Oracle PostgreSQL SQL Security Terraform Lambda Redshift Docker Embedded Flow IAM Support Kafka Kubernetes REST Spark More: At LYNKED, we are at the forefront of transforming smart infrastructure, specializing in advanced metering solutions and IoT cloud platforms for various sectors. We are committed to innovation and sustainability, delivering high-quality technology that enhances efficiency in energy management. We are seeking a mid-to-senior Data Engineer to join our team in London, ON, during a critical phase of our data transformation journey. In this role, you will have architectural ownership and the opportunity to build and maintain systems that impact our operations directly. We offer competitive benefits, career growth opportunities, and a collaborative environment focused on meaningful technology solutions. last updated 25 week of 2026