Data Engineer

Required Skills & Experience
Data Engineering: Strong hands‑on experience with the Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,), and data pipeline orchestration.
Full‑Stack Development: Proficiency in Java, Python, shell scripting, RESTful API development, and web frameworks such as Flask and React.
Machine Learning & AI: Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
Security & Governance: Solid understanding of enterprise data security frameworks, including LDAP, Kerberos, RBAC, data masking, and fine‑grained access control.
Performance Optimization: Demonstrated ability to tune and optimize data queries and applications in large‑scale Hadoop environments.
Tools & Platforms: Experience with Cloudera Data Platform (CDP), Cloudera Data Services (CDS, CML, Informatica, Qlik Sense, Apache Oozie, Git, and CI/CD pipelines.
Soft Skills...