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Tech Stack
Tools & technologiesAzureCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- Responsible for designing, developing, testing, operating and maintaining products
- Takes full stack ownership by consistently writing production-ready and testable code
- Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
- Performs analysis on failures, propose design changes, and encourage operational improvements
- Makes sound design/coding decisions keeping customer experience in the forefront
- Takes feedback from code review and apply changes to meet standards
- Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
- Accountable for ensuring all aspects of product development follow compliance and security best practices
- Exhibits relentless focus in software reliability engineering standards embedded into development standards
- Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation
- Contributes to a culture of innovation, collaboration and continuous improvement
- Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation
Requirements
What you’ll need- Bachelor’s degree, or equivalent work experience
- Three to five years of relevant experience
- Strong proficiency in Python, PySpark, and SQL for large-scale data processing and performance optimization
- Experience building and managing data pipelines using Azure Data Factory (ADF), Azure Synapse, and Databricks
- Hands-on expertise with Azure Data Lake (ADLS) for scalable data storage, partitioning, and lifecycle management
- Solid understanding of the Azure cloud ecosystem and end-to-end data platform capabilities
- Experience designing modern data architectures, including data lakes and data warehouses
- Strong knowledge of ETL/ELT frameworks and best practices in data pipeline development
- Familiarity with Azure Machine Learning and integration of data engineering workflows with ML models
- Proficiency in Power BI, including dashboard development, DAX, and semantic data modeling
- Strong understanding of data warehousing concepts, including star schema, fact, and dimension modeling
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
ATS Keywords
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Hard Skills & Tools
PythonPySparkSQLAzure Data FactoryAzure SynapseDatabricksAzure Data LakeETLELTPower BI
Soft Skills
collaborationcontinuous improvementcustomer experience focuscode reviewdesign decision makingoperational improvementsinnovationprioritizationcommunicationproblem solving