You would be responsible for designing and maintaining data ingestion pipelines, developing scalable cloud solutions using Cloudera, writing PySpark notebooks for business transformations, optimizing data systems, ensuring data quality and governance, and collaborating closely with architects and technical leads. The position also involves code reviews, debugging, system performance monitoring, and supporting migration from legacy systems.Key Requirements: 5+ years in data engineering or software development Strong proficiency with Cloudera, Python, and SQL Experience with data processing frameworks (e.g., Azure Databricks, Hadoop) Good understanding of networking, security, and data governance Relevant Cloudera certifications are a plus