Über
TD Securities is one of the worlds leading global financial institutions and is the fifth largest bank in North America. They are seeking a Data Engineer II who will focus on developing and maintaining data solutions within the Azure cloud environment, ensuring efficient and reliable data solutions that support analytics and business decision-making.
Responsibilities : • Provides 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. • Focuses on developing and maintaining data solutions within the Azure cloud environment. • Responsible for designing, building, and optimizing scalable data pipelines, as well as creating curated, high-quality data assets to support analytics, reporting, and business decision-making. • Collaborates closely with data analysts, data scientists, and business stakeholders to ensure that data solutions are efficient, reliable, and aligned with organizational goals.
Qualifications : Required : • Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience • 3+ years of relevant experience • Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure • Performs complex technical tasks independently • Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards • Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes • Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary • May be recognized as a subject matter expert in areas directly related to key accountabilities
Preferred : • Solid hands-on experience with Microsoft Azure, to include: Azure Data Factory, Azure Data Lake Storage (Gen2), Azure Synapse Analytics, Azure Databricks, Azure Functions (for orchestration or automation tasks) • Experience designing and developing ETL/ELT pipelines • Proficient in data ingestion, transformation, and integration from various sources • Proficiency in Python and/or Scala for data processing tasks • Experience with SQL for querying and transforming data • Understanding of data modeling principles (dimensional, star/snowflake schema) • Ability to build curated, reusable datasets for downstream analytics • Familiarity with Git, DevOps workflows, and deploying pipelines using CI/CD tools (e.g., Azure DevOps) • Knowledge of data governance, security, and compliance best practices in a cloud environment • Strong problem-solving and communication skills • Ability to work independently and collaboratively in cross-functional teams • Comfortable interacting with business users to understand data needs and translate them into technical solutions • Strategic thinking, ownership and accountability, Bias for Action, Influencing without Authority, collaboration and cross-Functional Leadership, and growth mindset and adaptability • Certifications: DP-203, DP-500 and AZ-305. Any Azure certifications are preferred
Company :
TD Securities is an investment banking that offers global transaction, M&A advisory, foreign exchange, and equity research services. Founded in 1855, the company is headquartered in Toronto, CAN, with a team of 5001-10000 employees. The company is currently Late Stage.
Sprachkenntnisse
- English
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