Software Engineer III - Big Data

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.

• Participating in code reviews and ensuring 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.

Required qualifications, capabilities, and skills.

• Formal training or certification on software engineering concepts and 3+ years applied experience.

• Advanced knowledge of architecture, design and business processes

• Full Software Development Life Cycle experience within an Agile framework

• Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.

• Experience with the development and decomposition of complex SQL (RDMS Platforms)

• Experience with Data Warehousing concepts (including Star Schema).

• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.

• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).

• Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)

• Experience with one or more leading cloud providers (AWS/Azure/GCP)

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