Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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

Technical 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
Benefits

Insurance - Family
Term Insurance PF

Paid Time Off - 20 days
Holidays - 10 daysFlexi timingCompetitive SalaryDiverse & Inclusive workspace

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