Elevate your career as a Senior Big Data Developer based in Toronto, ON, with a 4-day onsite work schedule. This contract role focuses on building scalable data pipelines and involves extensive API integration. The ideal candidate will have expertise in Big Data Engineering, AI-assisted development, and will be responsible for designing and maintaining data systems in an enterprise setting.

Proficiency in Spark-Scala, ETL optimization, and complex query writing are essential. You will also work on job orchestration using shell scripting and manage data extraction from APIs. Key Responsibilities:
Design Spark-Scala apps for data processing
Build and optimize ETL/ELT pipelines
Tune Spark jobs for performance optimization
Migrate applications to Spark 3 on Cloudera CDP
Write complex HiveQL queries for data retrieval

Requirements:
Experience with big data tools and frameworks
Proficiency in Unix/Shell scripting
Skills in Python for API data extraction
Familiarity with HDFS and data governance
Understanding of AI tools for automation

Leverage your skills in big data technologies and make a meaningful impact on data engineering projects in Toronto.

📌 Senior Big Data Developer In Toronto
🏢 E-Solutions
📍 Toronto