Senior Data Engineer I
LexisNexis Risk Solutions1 hour ago
Chennai, IndiaSenior
Responsibilities
- Design, develop, test, and deploy production-ready applications and data pipelines using Python, PySpark, and related technologies.
- Build and maintain scalable, reusable data solutions aligned with shared platform patterns.
- Translate business requirements into robust, scalable technical designs with cross-functional teams.
- Design and implement data models, transformation pipelines, and ETL processes while ensuring data integrity, performance, and scalability.
- Contribute to standardized engineering practices including code reviews, automated testing, and CI/CD.
- Debug and resolve complex production issues to maintain high-quality, resilient systems.
- Use data storage, orchestration, and governance platform capabilities in accordance with organizational standards.
- Participate in Agile delivery activities including stand-ups, sprint planning, and reviews.
- Improve reusable patterns, pipelines, and engineering approaches to reduce duplication and increase delivery speed.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related analytical field, or equivalent practical experience.
- 5–7 years of professional software engineering experience with strong hands-on coding expertise.
- Advanced proficiency in Python, PySpark, and ETL development, including data manipulation and optimization.
- Working knowledge of AWS, Airflow, Snowflake, Iceberg, SQL, Linux, Docker, GitHub, Terraform, and Excel.
- Strong understanding of normalized and dimensional data modeling and multiple data storage systems.
- Advanced knowledge of software development methodologies and industry best practices.
- Experience with test-driven development, complex bug resolution, and writing detailed technical specifications.
- Strong analytical, research, communication, and collaboration skills.
Benefits
- Country-specific benefits are offered.
- The employer provides a fair and accessible hiring process with accommodations available for applicants with disabilities or other needs.