Software Engineer II - Data Technology
- Be responsible for all aspects of data strategy, governance, data risk management, reporting, and analytics.
- Work with product owners, data owners, and customers to evaluate data requirements and identify the right technology solutions and implementation.
- Design, develop, code, test, debug, and deploy applications for scalable and extensible applications.
- Produce high-quality code utilizing Test Driven Development techniques.
- Participate in retrospectives to drive continuous improvement within the feature team.
- Participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
- Implement automation: Continuous Integration and Continuous Delivery.
- Manage cloud development and deployment: Support development and deployment of applications into AWS Public clouds.
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Full Software Development Life Cycle experience within an Agile framework
- Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark and Snowflake.
- Experience with the development and decomposition of complex SQL (RDMS Platforms) & Experience with one or more leading cloud providers (AWS/Azure/GCP)
- Experience with Data Warehousing concepts (including Star Schema).
- Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence.
- Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption) & Experience in Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
Preferred qualifications, capabilities, and skills:
- Ability to work fast and quickly ramp up on new technologies and strategies.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
- Appreciation of Controls and Compliance processes for applications and data.
- In depth understanding of data technologies and solutions is preferable.
- Drive Process improvements and implement process changes as necessary.
- Knowledge of industry-wide Big Data technology trends and best practices
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