Big Data Engineer

Core Responsibilities 

• Design and optimize batch/streaming data pipelines using Scala, Spark, and Kafka 
  
• Implement real-time tokenization/cleansing microservices in Java 
  
• Manage production workflows via Apache Airflow (batch scheduling) 
  
• Conduct root-cause analysis of data incidents using Spark/Dynatrace logs 
  
• Monitor EMR clusters and optimize performance via YARN/Dynatrace metrics 
  
• Ensure data security through HashiCorp Vault (Transform Secrets Engine) 
  
• Validate data integrity and configure alerting systems 
  

Requirements

• Programming :Scala (Spark batch/streaming), Java (real-time microservices)               
  
•  Big Data Systems: Apache Spark, EMR, HDFS, YARN resource management                           
  
•  Cloud & Storage :Amazon S3, EKS                                                              
  
•  Security: HashiCorp Vault, tokenization vs. encryption (FPE)                          
  
•  Orchestration :Apache Airflow (batch scheduling)                                           
  
•  Operational Excellence Spark log analysis, Dynatrace monitoring, incident handling, data validation
  

Mandatory Competencies 

• Expertise in distributed data processing (Spark on EMR/Hadoop) 
  
• Proficiency in shell scripting and YARN job management 
  
• Ability to implement format-preserving encryption (tokenization solutions) 
  
• Experience with production troubleshooting (executor logs, metrics, RCA) 
  

Benefits