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Big Data Architect (MapR, Hadoop)

Big Data Architect (MapR, Hadoop)

ConfidentialMumbai
30+ days ago
Job description

Key Responsibilities :

  • Design, architect, and implement end-to-end big data solutions using MapR , Apache Hadoop , and associated ecosystem tools (e.g., Hive, HBase, Spark, Kafka).
  • Lead data platform modernization efforts including architecture reviews, platform upgrades, and migrations.
  • Collaborate with data engineers, data scientists, and application teams to gather requirements and build scalable, secure data pipelines.
  • Define data governance, security, and access control strategies in the MapR ecosystem.
  • Optimize performance of distributed systems, including storage and compute workloads.
  • Guide teams on best practices in big data development, deployment, and maintenance.
  • Conduct code reviews and architecture assessments.
  • Provide mentorship to junior engineers and technical leadership across big data initiatives.

Qualifications and Requirements :

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • 6+ years of experience in data architecture, with at least 3 years working specifically on MapR and Hadoop ecosystems.
  • Expertise in MapR-DB , MapR Streams , and MapR-FS .
  • Proficiency with big data tools : Apache Spark , Kafka , Hive , HBase , Oozie , Sqoop , Flume .
  • Strong programming skills in Java , Scala , or Python .
  • Solid understanding of distributed systems , high availability , and cluster management .
  • Experience with data ingestion, transformation, and ETL pipelines.
  • Familiarity with security controls (Kerberos, Ranger, Knox, etc.) and data governance.
  • Experience with CI / CD, Docker, Kubernetes is a plus.
  • Desirable Skills and Certifications :

  • Certifications such as :
  • Cloudera Certified Professional (CCP) , MapR Certified , or Hortonworks HDP Certification
  • Exposure to cloud-based big data platforms like AWS EMR , Azure HDInsight , or GCP Dataproc .
  • Experience with NoSQL and real-time data streaming architectures.
  • Ability to communicate architectural concepts to both technical and non-technical stakeholders.
  • Skills Required

    Nosql, Docker, Kubernetes

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