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
- Participates in, design and develop scalable and resilient systems using Java or Python/SQL to contribute to continual, iterative improvements for product teams
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years of applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages Python and SQL
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, ETL Processing, Scheduling, Operations etc.)
- Experience with Teradata/Oracle SQL
- Hands on Ab Initio or Informatica ETL development and Data warehouse experience
- In-depth knowledge of Ab Initio, Informatica ETL programming (GDE/EME), Unix Shell Scripting and Control-M / Autosys batch schedulers.
- Hands-on practical experience in system design, application development, testing, and operational stability
Preferred qualifications, capabilities, and skills
- Java framework, modern front-end technologies and exposure to cloud technologies.
- Practical cloud native experience in AWS (EC2, S2, Glue, AWS Lambda, Athena, RDS, SNS), proficiency with PySpark , Machine Learning disciplines.
- Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark and event driven architecture using Kafka.
- Exposure to cloud technologies such as AWS