Make an impact at Infosys as a Data Processing Developer focusing on Apache Spark and PySpark. Help create scalable data solutions while working in Ontario.
You will play a pivotal role at Infosys, designing and developing data pipelines using advanced technologies. This position requires a Bachelor’s degree or equivalent experience, alongside significant exposure to big data tools like Spark and Hadoop. Collaborating closely with project teams, you will contribute to building effective and reliable data processing systems.
Key Responsibilities:
• Design and implement data processing with Spark and Scala • Optimize batch and real-time workflows using Hadoop and Kafka • Create and maintain scalable Spark applications for data processing • Develop and maintain data lake solutions with Hive and NoSQL • Ensure data quality and monitor pipeline performance
Requirements: • At least 4 years of experience in Big Data engineering • Strong knowledge of Spark, Scala, and ETL practices • Hands-on with data lakes and streaming frameworks • Familiarity with SQL for data transformation • Excellent problem-solving abilities and analytical mindset
Leverage your skillset in data processing to drive results for Infosys and its stakeholders. #J-18808-Ljbffr