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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPySparkSQLAzure Data FactoryAzure SynapseDatabricksAzure Data LakeETLELTPower BI
Soft Skills
collaborationcontinuous improvementcustomer experience focuscode reviewdesign decision makingoperational improvementsinnovationprioritizationcommunicationfeedback application
Tools & Technologies
AzureAzure Machine Learningdata pipelinesdata lakesdata warehousesdashboard developmentDAXsemantic data modelingdata storagelifecycle management
Industry Keywords
software reliability engineeringcompliancesecurity best practicesarchitectural best practicesdata architecturedata warehousing conceptsstar schemafact modelingdimension modelinglarge-scale data processing
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