Data Engineer

Job Title: Data Engineer Job Location: Toronto, ON Job Type: Contract Job Description: • Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration. • Work extensively with Databricks for data processing, transformation, and analytics. • Develop and maintain data workflows using Python and SQL. • Integrate data from multiple sources, including Azure databases and Oracle databases. • Write optimized queries and implement efficient data transformation logic. • Perform data cleansing, validation, and quality checks to ensure accuracy and consistency. • Troubleshoot data pipeline failures and resolve performance and data processing issues. • Collaborate with business analysts, data architects, and other engineering teams to understand data requirements. • Follow best practices for data security, governance, performance optimization, and documentation. • Support data solutions involving AI or machine learning where applicable. Required Skills and Qualifications: • 5 7 years of experience in data engineering or data development. • Strong hands-on experience with Databricks. • Experience working with Azure database technologies. • Strong experience with Oracle Database and SQL. • Proficiency in Python programming for data processing and automation. • Experience with ETL/ELT processes, data integration, and data transformation. • Strong analytical, troubleshooting, and problem-solving skills. • Good communication and collaboration skills. Preferred Skills: • Exposure to AI, machine learning, or AI-enabled data solutions. • Experience with Spark, PySpark, Delta Lake, or Azure data services. • Experience optimizing data pipelines and processing large datasets. Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.