- Location
- Kathmandu, Nepal
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Closing date
- Today
- Source
- Workday
Description
Job Overview:
We are seeking a Software Engineer with expertise in building scalable data processing systems using Python, Java, and SQL. This role focuses on designing and implementing high-performance data workflows for large-scale analytics in a cloud-based environment.
You will collaborate with engineers, product managers, and DevOps teams to build, optimize, and maintain data pipelines and processing frameworks.
Roles & Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using Python, Java and SQL
- Build data processing workflows using big data technologies such as Apache Spark, Hive, and Amazon EMR
- Optimize data workflows for performance, cost-efficiency, and reliability
- Develop and maintain data models to support business analytics and reporting
- Ensure data quality, integrity, and lineage across the data platform
- Integrate data pipelines with AWS services such as S3, Lambda, and Step Functions
- Implement automated testing and monitoring for data workflows
- Collaborate with cross-functional teams to meet data and infrastructure requirements
- Adhere to modern software engineering best practices including version control, CI/CD, and Agile methodologies
Required Experience / Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 3-4 years of experience in software or data engineering
Proficient in Python and Java for backend and data pipeline development - Strong knowledge of SQL and experience with big data analytics
- Hands-on experience with distributed data processing tools like Spark, Hive, or MapReduce
- Familiarity with AWS cloud services including S3, Lambda, and CloudWatch
- Solid understanding of data warehousing concepts and data modeling
- Knowledge of Snowflake and Snowpark
- Experience with version control systems (e.g., Git) and CI/CD pipelines
Preferred Skills:
- Experience with orchestration tools such as Apache Airflow or AWS Step Functions
- Exposure to DataOps, infrastructure-as-code, and automation practices
- Understanding of data governance, security, and performance monitoring
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.