Job Overview
Role: Software Development Engineer 1 Location: Bangalore, Karnataka Experience: 1 Year Qualification: B.E/B.Tech/B.Sc Key Skills: Java, C#, Golang, Python, SQL, Relational Algebra, Databases, ELT, Data Pipelines, GitHub Actions, Terraform, Cloud Infrastructure, TDD, BDD, Microservices, Vertical Slice Architecture, Big Data, Data Quality, Data Modeling, Monitoring
Job Description
As a Software Development Engineer 1 at WEX, you will join the Risk Engineering organization and contribute to systems that process and manage large amounts of business and operational data. This entry-level role involves data ingestion, cleaning, enrichment, processing, serving, quality measurement, cloud infrastructure, CI/CD, monitoring, Infrastructure as Code, and data modeling. You will work with various programming languages, SQL, and relational databases. The role emphasizes learning, mentorship, and progressively taking ownership of complex tasks within modern engineering practices like TDD and BDD.
Roles and Responsibilities
- Collaboration: Collaborate with stakeholders to understand customer and business problems.
- Product Development: Design, test, code, and instrument new data products, systems, and platforms.
- Software Components: Develop software components for small- and medium-complexity problems.
- Data Pipelines: Build and maintain data pipelines covering the end-to-end data lifecycle.
- Data Processing: Support data ingestion, cleaning, processing, enrichment, optimization, and serving.
- Data Quality: Develop systems for measuring and monitoring data quality.
- Data Management: Support metadata management, data catalogs, and Master Data Management initiatives.
- CI/CD: Learn and maintain CI/CD pipelines using tools such as GitHub Actions.
- Infrastructure as Code: Implement Infrastructure as Code using tools such as Terraform.
- Cloud Infrastructure: Support provisioning and management of cloud-based data infrastructure.
- Engineering Practices: Apply software development practices such as TDD and BDD.
- Architecture: Work with microservices and vertical slice architecture patterns.
- Production Support: Support live data systems and production platforms.
- Monitoring & Incident Response: Participate in proactive monitoring and incident response activities.
- System Investigation: Investigate existing systems to identify bottlenecks and improvement opportunities.
- Big Data: Develop and maintain reliable, secure, and scalable big data platforms and tools.
- Data Quality Systems: Support data quality measurement and monitoring systems.
- Big Data Integration: Learn and integrate big data technologies with WEX platforms.
- Data Modeling: Apply data modeling techniques to create efficient and usable data structures.
- Quality Improvement: Collaborate with peers and senior engineers to improve solution quality.
- Continuous Learning: Continuously learn new technologies and engineering practices.
Skills and Eligibility Criteria
Educational Background: Bachelor's degree in Computer Science, Software Engineering, or a related field. Demonstrable equivalent capability may also be considered.
Experience: 1 year of software engineering experience is listed as a plus.
Mandatory Technical Skills:
- Programming: Strong implementation skills in Java, C#, Golang, Python, or similar programming languages.
- Testing: Understanding of automated testing and engineering quality practices.
- Data Processing: Knowledge of data ingestion, cleaning, processing, enrichment, serving, and data quality.
- SQL: Understanding of SQL and relational algebra.
- Databases: Knowledge of relational databases and data systems.
- ELT: Understanding of extract, load, and transform workflows.
- Data Warehousing: Basic understanding of data warehousing and dimensional modeling.
- Cloud: Interest or experience with cloud technologies and infrastructure.
- CI/CD: Familiarity with continuous integration and delivery pipelines.
- Infrastructure as Code: Exposure to Terraform is an advantage.
- Architecture: Awareness of microservices and vertical slice architectures.
- Monitoring: Understanding of measurement, monitoring, and production support.
Competencies:
- Problem Solving: Strong analytical and problem-solving skills.
- Communication: Strong communication and collaboration capabilities.
- Learning Ability: Willingness to learn new technologies and tools quickly.