Data Engineer II (US)

TD Bank

United States

United States

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Nous utilisons des tmoins pour fournir et amliorer nos services de sorte vous offrir une exprience plus personnalise, et les services de suivi sont dsactivs. Pour en savoir plus sur les tmoins utiliss et pour consulter vos prfrences, veuillez vrifier les paramtres de votre navigateur ou slectionner Accepter pour consentir lutilisation des tmoins.Avertissement : Pour les visiteurs de lUnion europenne et du Royaume-Uni, seuls les tmoins strictement ncessaires sont utiliss sur ce site. Ces tmoins sont ncessaires au bon fonctionnement du site Web et ne peuvent pas tre dsactivs. Ils sont gnralement mis en place uniquement en rponse des actions que vous effectuez et qui quivalent une demande de services, comme configurer vos prfrences en matire de confidentialit, ouvrir une session ou remplir des formulaires. Vous pouvez configurer votre navigateur pour quil bloque ces tmoins; toutefois, certaines sections du site ne fonctionneront pas. Ces tmoins nenregistrent pas de renseignements personnels permettant lidentification.**Work Location:**Mount Laurel, New Jersey, tats-Unis d'Amrique**Hours:**40**Pay Details:**$74,000 - $127,000 USDTD 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.**Line of Business:**Solutions technologiques**Job Description:*** The Data Engineer II 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. This Data Engineer role will primarily focus on developing and maintaining data solutions within the Azure cloud environment. The engineer will be 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. The role requires close collaboration with data analysts, data scientists, and business stakeholders to ensure that data solutions are efficient, reliable, and aligned with organizational goals.**Depth & Scope:*** 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**Education & Experience:*** 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**Preferred Qualifications:****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)**Data Engineering & Pipelines:*** Experience designing and developing ETL/ELT pipelines* Proficient in data ingestion, transformation, and integration from various sources**Programming & Scripting:*** Proficiency in Python and/or Scala for data processing tasks* Experience with SQL for querying and transforming data**Data Modeling & Curation:*** Understanding of data modeling principles (dimensional, star/snowflake schema)* Ability to build curated, reusable datasets for downstream analytics**Version Control & CI/CD:*** Familiarity with Git, DevOps workflows, and deploying pipelines using CI/CD tools (e.g., Azure DevOps)**Security & Governance:*** Knowledge of data governance, security, and compliance best practices in a cloud environment**Soft Skills:*** 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**Core leadership behaviors but not limited to:*** Strategic thinking, ownership and accountability, Bias for Action, Influencing without Authority, collaboration and cross-Functional Leadership, and growth mindset and adaptability**Unique aspects of this role:*** Balancing Centralized Governance vs. Agile Delivery: Navigating the priorities between governance and business teams need for fast, self-serve solution.* Scalability and performance testing: Engineering performant pipelines that scale with growing data volumes and diverse query patterns.* Cloud cost Management: Azure services are consumption based. In efficient jobs, long-running clusters can rack up the costs.**Certifications: DP-203, DP-500 and AZ-305. Any Azure certifications are preferred****Physical Requirements:**Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%* Domestic Travel Occasional* International Travel Never* Performing sedentary work Continuous* Performing multiple tasks Continuous* Operating standard office equipment - Continuous* Responding quickly to sounds Occasional* Sitting Continuous* Standing Occasional* Walking Occasional* Moving safely in confined spaces Occasional* Lifting/Carrying (under 25 lbs.) Occasional* Lifting/Carrying (over 25 lbs.) Never* Squatting Occasional* Bending Occasional* Kneeling Never* Crawling Never* Climbing Never* Reaching overhead Never* Reaching forward Occasional* Pushing Never* Pulling Never* Twisting Never* Concentrating for long periods of time Continuous* Applying common sense to deal with problems involving standardized situations Continuous* Reading, writing and comprehending instructions Continuous* Adding, subtracting, multiplying and dividing ContinuousThe above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.#LI-AMCBTech **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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. #J-18808-Ljbffr

United States

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