Big Data Engineer
Nubes Inc
- India
- Permanent
- Full-time
- Design, develop, and optimize big data pipelines using Spark and Scala.
- Implement data processing workflows on Azure Databricks to handle complex datasets efficiently.
- Leverage Azure Cloud services to design scalable and reliable data solutions.
- Write high-quality, reusable, and efficient Java code for backend systems and data processing.
- Collaborate with cross-functional teams to integrate data solutions into applications and services.
- Monitor and maintain the performance of data systems, ensuring data integrity and reliability.
- Stay updated with the latest industry trends and technologies to improve systems and processes.
- Azure Cloud: Minimum of 2 years of hands-on experience with Azure services such as Azure Data Lake, Azure Synapse, or Azure Functions.
- Databricks: At least 2 years of experience working with Databricks for data engineering or analytics projects.
- Big Data: 2+ years of experience with big data tools and frameworks, including Hadoop, Spark, and Kafka.
- Java Development: 2+ years of experience with strong proficiency in building robust, scalable systems.
- Spark/Scala: Minimum of 2 years of experience with Spark for big data processing and Scala programming.
- Familiarity with CI/CD pipelines and version control tools like Git.
- Knowledge of data modeling and ETL frameworks.
- Experience with SQL and NoSQL databases.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.