Software Developer with DevOps and Data Engineering

**Job Description: Software Developer with DevOps and Data Engineering Expertise**

**Position**:Software Developer
**Location**:Singapore

**Job Type**:Contract 12 months

**Job Overview**:
**Key Responsibilities**:

- **Project Delivery**:

- Lead and contribute to software development projects using Waterfall and Agile methodologies.
- Collaborate with cross-functional teams to deliver high-quality solutions on time.
- **Development Expertise**:

- Utilize development skills in Java,.NET, Python, Dynamics CRM, SharePoint, and mobile technologies.
- Design and implement solutions in cloud or on-premise environments using tools like SSIS and Denodo.
- Leverage big data engineering tools such as Python, PySpark, and ETL platforms (e.g., Informatica) for large-scale data processing tasks.
- **Testing & Quality Assurance**:

- Demonstrate knowledge of automated software testing methodologies, including unit testing, integration testing, functional testing, Test Driven Development (TDD), and Behavior Driven Development (BDD).
- Collaborate with QA teams to ensure that all software components meet the highest standards of quality.
- **Troubleshooting & Debugging**:

- Provide root cause analysis and suggest performance improvements for high-availability, high-performance systems.
- **DevOps & Continuous Integration/Continuous Delivery (CI/CD)**:

- Implement and manage DevOps pipelines and deployment processes to automate software builds and releases.
- Use Docker and similar tools to create packaging/build scripts for deployment in hybrid cloud environments.
- Demonstrate hands-on experience with data virtualization tools like Denodo and deployment automation.
- **Data Engineering & Analytics**:

- Design, develop, and optimize SQL queries for data models, analytics, and data warehouse implementations.
- Use data engineering skills to build and manage data pipelines that process and analyze large datasets in distributed environments.
- **Infrastructure & High-Performance Systems**:

- Implement systems with high availability, performance, and security hosted across various data centers or hybrid cloud environments.
- Ensure solutions are scalable, fault-tolerant, and meet performance and security standards.

**Required Skills and Qualifications**:

- Strong hands-on experience in Java,.NET, Python, and associated frameworks.
- Expertise in software testing methodologies (unit testing, TDD, BDD, etc.).
- Strong SQL and data modeling skills for analytics and data warehouse implementations.
- Experience with big data tools (e.g., Python, PySpark, Informatica) and data engineering processes.
- Hands-on experience with DevOps tools and CI/CD practices.
- Strong understanding of analytics, data warehousing, and virtualization tools like Denodo.
- Excellent troubleshooting and problem-solving skills.

**Preferred Skills and Certifications**:

- Relevant software development certifications such as Microsoft Certified Solution Developer for Dynamics or equivalent.
- Certified Software Testing Professional (CSTP), Certified Software Quality Analyst (CSQA), or equivalent certifications.
- Experience with high availability, high performance, and secure systems deployment across data centers or hybrid cloud environments.

**Education & Certification**:

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Relevant certifications in software development, DevOps, and/or data engineering will be an added advantage.

This role is suited for a highly motivated individual with a passion for building scalable, secure, and high-performance software solutions. If you are looking for a challenging opportunity to work with cutting-edge technologies in a dynamic environment, we encourage you to apply.