3 days ago
Base Salary
$98k - $159k/yr
Responsibilities
- Design and maintain complex data models, ETL jobs, ingestion pipelines, data-processing frameworks, and business rules.
- Perform data profiling, data-quality analysis, data acquisition, metadata management, lineage tracking, and data lifecycle governance.
- Develop, optimize, test, debug, and support scalable data-processing workloads and enterprise data solutions.
- Investigate complex data and application issues, perform root-cause analysis, and implement sustainable resolutions.
- Support development, QA, SIT/UAT/PAT testing, code packaging, CI/CD deployment, release management, and post-implementation activities.
- Participate in architecture and design reviews and ensure technical decisions, risks, lessons learned, and enhancements are documented.
- Ensure data solutions comply with enterprise data standards, policies, security practices, regulatory guidelines, and governance requirements.
- Lead data-engineering initiatives, share best practices, mentor team members, and collaborate with internal and external stakeholders.
Requirements
- Degree, postgraduate degree, or technical certificate in Data Management or a related discipline such as Computer Science or Engineering, or equivalent practical experience.
- At least 5 years of relevant experience.
- At least 5 years of experience with Azure Databricks, PySpark, SQL, Azure Data Factory, big data, ETL, and data engineering.
- At least 5 years of experience with GitHub or Bitbucket and collaborative source-control practices.
- At least 3 years of experience with Delta Lake, Unity Catalog, and CI/CD and DevOps practices.
- Strong analytical, problem-solving, data modeling, pipeline design, performance optimization, scalability, reliability, and production-support skills.
- Ability to communicate complex technical details to non-technical business partners and work effectively across multiple teams.
- Graduate degree preferred.
Benefits
- Base salary and variable compensation or incentive awards may be available.
- Health and well-being benefits, savings and retirement programs, paid vacation, flexible paid time off, and holiday paid time off are offered.
- Banking benefits, discounts, career development, training, mentoring programs, and access to an online learning platform are available.
- The role is located in Mount Laurel, New Jersey, United States, with occasional domestic travel and no international travel stated.
Tech Stack
Categories
Data Engineering
About TD bank
TD Bank Group provides retail and commercial banking, credit cards, mortgages, wealth management, insurance, and capital-markets services to consumers, businesses, and institutional clients. Headquartered in Toronto and founded in 1955, it operates across Canada and the eastern United States. The company generates revenue from interest income, fees, and trading activities and is publicly traded on the TSX and NYSE under the symbol TD.