Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ 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, Ab Initio.
- 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)
- Familiar with multiple Data & Analytics technology stacks
- 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