Roles and Responsibilities :

- Design and implement scalable, secure, and effective big data solutions using PySpark on Microsoft Azure.

- Collaborate with cross-functional teams to gather requirements and develop technical roadmaps for AI/ML projects.

- Develop high-quality code in Python, ensuring adherence to coding standards and best practices.

- Troubleshoot complex issues related to big data processing, machine learning models, and SQL queries.

Job Requirements :

- 8-15 years of experience in architecture or engineering roles involving big data technologies such as Hadoop ecosystem (HDFS, YARN, MapReduce), Spark (PySpark), Kafka.

- Robust understanding of artificial intelligence concepts including machine learning algorithms and deep learning techniques.

- Proficiency in programming languages such as Python with expertise in designing scalable applications using Data Bricks framework.

- Experience working with cloud-based platforms like Microsoft Azure with knowledge of its services including storage options (Blobs), compute resources (Virtual Machines).

📌 Big Data Engineer Architect (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru