Data Engineer I (Production Support)

This role is eligible for a discretionary variable compensation award that considers business and individual performance. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. KEY ACCOUNTABILITIES: Monitoring and supporting production data pipelines, workflows, and platform operations. Troubleshooting Databricks jobs, notebooks, clusters, and data processing issues. Performing data quality investigations, reconciliations, and root cause analysis. Managing production incidents, defects, and operational issues through resolution. Supporting production deployments, PAT validation, release activities, and post-deployment validation. Partnering with DevOps, Infrastructure, and Production Support teams to ensure platform stability and service reliability. Developing operational runbooks, monitoring processes, and support documentation. Driving continuous improvement initiatives to enhance system performance, resiliency, and supportability. EXPERIENCE AND / OR EDUCATION Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience 2-3 years of relevant experience Databricks / Spark Azure Data Platform (ADLS, ADF, Azure SQL) Python / Pyspark CI/CD and DevOps practices Dynatrace Stakeholder communication Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Please be advised that this job