Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with the 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.
- Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way.
- Design and develop data pipelines to ingest, store, and process data from multiple sources.
- 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 in software engineering concepts and 2+ years applied experience.
- Experience in Java or Python programming language with experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Good knowledge of Big Data tools such as Spark and Flink.
- Experience in using Tableau, Snowflake, Datadog, Splunk.
- Experience with AWS services like S3, Glue, Lambda functions, EKS, Athena and Redshift.,
- Experience in Data Analysis tools & technologies like SQL, PLSQL, Alteryx, Python.
- Proficiency in automation and continuous delivery methods and Proficient in all aspects of the Software Development Life Cycle.
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
Preferred qualifications:
- Experience in using Data Visualization tools like Tableau, Qlik Sense, or similar.
- Experience in streaming technologies Apache Kafka