Senior Big Data Developer
1 month ago
Guidewire Software is seeking a highly skilled Senior Big Data Developer to join its Data Platform and Analytics team. This team owns, builds, and operates the company's cloud-native data platform and analytics SaaS offerings.
The ideal candidate will have a strong background in building large-scale distributed data processing systems, with expertise in big data frameworks like Hadoop, Spark, Hive, and Kafka. Proficiency in data processing languages such as Python, Java, or Scala is also required.
The Senior Big Data Developer will be responsible for designing and developing scalable and high-performance data pipelines for collecting, processing, and storing large datasets. They will also work with cross-functional teams to understand and implement data requirements, and continuously evolve the data architecture to meet the future needs of the company.
Key Responsibilities:
- Design and develop scalable and high-performance data pipelines for collecting, processing, and storing large datasets.
- Work with Hadoop, Spark, Kafka, and other big data technologies to manage and process structured and unstructured data.
- Optimize and troubleshoot data pipelines for speed and efficiency.
- Collaborate with data scientists and analysts to integrate data-driven insights into business decision-making processes.
- Implement data security measures and maintain data integrity across the systems.
- Analyze and improve performance and scalability of data pipelines and storage solutions.
- Monitor and maintain data workflows, ensuring consistency and reliability.
- Work with cross-functional teams, including product, engineering, and operations, to understand and implement data requirements.
- Continuously evolve the data architecture to meet the future needs of the company.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Minimum 6+ years of work experience.
- Proven experience in building and managing large-scale distributed data processing systems.
- Strong experience with big data frameworks like Hadoop, Spark, Hive, Kafka, etc.
- Proficiency in data processing languages such as Python, Java, or Scala.
- Hands-on experience with cloud-based big data solutions (AWS, GCP, or Azure).
- Solid understanding of data modeling, ETL concepts, and data warehousing solutions.
- Experience with data orchestration tools like Apache Airflow.
- Familiarity with SQL and NoSQL databases.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
Preferred Skills:
- Experience with real-time data processing and streaming (e.g., using Apache Flink, Kafka Streams).
- Knowledge of containerization technologies like Docker and Kubernetes.
Soft Skills:
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Strong analytical mindset and attention to detail.
Next Steps:
- Total Experience:
- Current CTC:
- Expected CTC:
- Notice Period:
- Current Location:
- Reason for Job Change:
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