Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
- Writing SQL Codes/Stored procedures capturing all the logics to identify the exceptions, developing Tableau dashboards – taking ownership end-to-end.
- Creates data models for complex applications and integrations while being accountable for ensuring design constraints are met by data engineering standards and software code development.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Demonstrable ability to code in one or more languages such as, Java, Python, or SQL
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Current user of Tableau, Alteryx , SQL or related tools with experience in data mining, descriptive and predictive statistics, and principles of data visualization
- Proficiency in both relational and NoSQL databases with working knowledge in data modeling tools and software (e.g., Erwin, SQL).
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies
- Hands on experienced with ETL tools (design and development) including Informatica, Star Schema data models, AWS Glue, and Databricks
- Experience in large scale data integration and data warehouse solutions and data modeling
- Experience with Oracle 19c or Higher database including partitioning and NoSQL databases (MongoDB)
- Hands on experience with Scala