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Consultant Data Developer

CIBC
Toronto, CAN
Full-time
Mid
Onsite
Discovered 2 days ago
alteryxazureazure-data-factoryconfluencedatabricksjava

Full Job Posting

Who You Are

  • You can demonstrate experience in: developing, testing, and implementing budgeting, forecasting and reporting solutions for a Corporate Finance organization using Microsoft Azure Products, Databricks, Azure Data Factory, Python, Spark, SQLMI and Azure Fabric implementations. Hands-on experience building and orchestrating metadata-driven data pipelines, Bronze/Silver/Gold data lake patterns, and DevOps-based CI/CD deployment is core to this role. Exposure to SAP Financial eco-systems (SAP S4/HANA) is a major asset.
  • It's an asset if you have experience with: Oracle RDBMS, ETL tools, OBIEE, Tableau, Alteryx, Java EE applications, workload automation / job scheduling tools (e.g., Autosys), Jira, Confluence, and/or other build & deploy tools, along with experience on Windows and Unix platforms.
  • You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
  • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
  • You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
  • You live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.
  • #LI-TA
  • What CIBC Offers
  • At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program, defined benefit pension plan, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
  • Subject to plan and program terms and conditions
  • What you need to know
  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]
  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
  • Job Location
  • Toronto-81 Bay, 27th Floor
  • Employment Type
  • Regular
  • Weekly Hours
  • 37.5
  • 5
  • Apache Spark, Automation, Azure Data Factory, Collaboration, Database Modeling, Databricks Unity Catalog, Data Engineering, Data Integration, Data Lake, Data Pipelines, DevSecOps, GitHub, Judgement, Microsoft Azure, Microsoft Azure Databricks, Problem Solving, Programming Languages, Python (Programming Language), Quality Engineering

Skills

  • Apache Spark, Automation, Azure Data Factory, Collaboration, Database Modeling, Databricks Unity Catalog, Data Engineering, Data Integration, Data Lake, Data Pipelines, DevSecOps, GitHub, Judgement, Microsoft Azure, Microsoft Azure Databricks, Problem Solving, Programming Languages, Python (Programming Language), Quality Engineering

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