WEX Recruitment 2026
WEX
LocationBangalore, Karnataka
Experience1 Year
QualificationB.E/B.Tech/B.Sc
Key Responsibilities
- Collaborate with stakeholders to understand customer and business problems.
- Design, test, code, and instrument new data products, systems, and platforms.
- Develop software components for small- and medium-complexity problems.
- Build and maintain data pipelines covering the end-to-end data lifecycle.
- Support data ingestion, cleaning, processing, enrichment, optimization, and serving.
- Develop systems for measuring and monitoring data quality.
- Support metadata management, data catalogs, and Master Data Management initiatives.
- Learn and maintain CI/CD pipelines using tools such as GitHub Actions.
- Implement Infrastructure as Code using tools such as Terraform.
- Support provisioning and management of cloud-based data infrastructure.
- Apply software development practices such as TDD and BDD.
- Work with microservices and vertical slice architecture patterns.
- Support live data systems and production platforms.
- Participate in proactive monitoring and incident response activities.
- Investigate existing systems to identify bottlenecks and improvement opportunities.
- Develop and maintain reliable, secure, and scalable big data platforms and tools.
- Support data quality measurement and monitoring systems.
- Learn and integrate big data technologies with WEX platforms.
- Apply data modeling techniques to create efficient and usable data structures.
- Collaborate with peers and senior engineers to improve solution quality.
- Continuously learn new technologies and engineering practices.
Skills & Eligibility
- Education: 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.
- 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.
- Problem Solving: Strong analytical and problem-solving skills.
- Communication: Strong communication and collaboration capabilities.
- Learning Ability: Willingness to learn new technologies and tools quickly.
- 💡 Pro Tip: Python is one of the programming languages specifically mentioned for this role and is useful for data processing and automation. Strengthen your Python skills with 100 Days of Code™: The Complete Python Pro Bootcamp.
- SQL is an important part of the technical profile.
- Candidates should be comfortable writing queries and understanding how relational data is structured.
- Important areas to revise include:
- SELECT queries
- WHERE conditions
- JOIN operations
- GROUP BY and aggregate functions
- Common Table Expressions
- Window functions
- Primary and foreign keys
- Transactions
- Normalization
- The role also mentions relational algebra. Candidates should understand that SQL is fundamentally based on operations over relational data, including selection, projection, and joins.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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