(Urgent Search) Big Data Architect

3 days ago

Mumbai, India Teamware Solutions Full time

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.

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