Databricks Data Engineer

Job Title: Data Engineer – Databricks Location: Onsite – Toronto, Canada Employment Type: Contract About the Role We are seeking an experienced Data Engineer with a strong background in Databricks , Apache Spark , and modern cloud data platforms . The ideal candidate has over 5 years of experience designing, developing, and maintaining scalable data pipelines and lakehouse architectures in enterprise environments. You will work closely with solution architects, analysts, and cross-functional teams to build robust, high-performance data solutions supporting analytics and machine learning workloads. Key Responsibilities • Design and implement ETL/ELT pipelines using Databricks and Apache Spark for batch and streaming data. • Develop and maintain Delta Lake architectures to unify structured and unstructured data. • Collaborate with data architects, analysts, and data scientists to define and deliver scalable data solutions. • Implement data governance , access control, and lineage using Unity Catalog , IAM, and encryption standards. • Integrate Databricks with cloud services on AWS, Azure, or GCP (e.g., S3, ADLS, BigQuery, Glue, Data Factory, or Dataflow). • Automate workflows using orchestration tools such as Airflow , dbt , or native cloud schedulers. • Tune Databricks jobs and clusters for performance, scalability, and cost optimization. • Apply DevOps principles for CI/CD automation in data engineering workflows. • Participate in Agile ceremonies, providing updates, managing risks, and driving continuous improvement. Required Qualifications • 5 years of professional experience in data engineering or data platform development . • Hands-on experience with Databricks , Apache Spark , and Delta Lake . • Experience with at least one major cloud platform — AWS , Azure , or GCP . • Strong proficiency in Python or Scala for data processing and automation. • Advanced knowledge of SQL , query performance tuning, and data modeling. • Experience with data pipeline orchestration tools (Airflow, dbt, Step Functions, or equivalent). • Understanding of data governance , security , and compliance best practices. • Excellent communication skills and ability to work onsite in Toronto . Preferred Skills • Certifications in Databricks , AWS/Azure/GCP Data Engineering , or Apache Spark . • Experience with Unity Catalog , MLflow , or data quality frameworks (e.g., Great Expectations). • Familiarity with Terraform , Docker , or Git-based CI/CD pipelines . • Prior experience in finance, legal tech, or enterprise data analytics environments. • Strong analytical and problem-solving mindset with attention to detail.

Location: Toronto, Ontario, CA

Posted Date: 11/17/2025