10 MapReduce Jobs in Bangalore (Bengaluru) | MapReduce Job openings in Bangalore (Bengaluru)

Job Summary:

• We are seeking an experienced Hadoop Engineer with strong hands-on expertise in MAPR and Hortonworks platform engineering and administration. The successful candidate will join our Hadoop Platform Engineering & Automation team to support our critical enterprise data lake platform. This role emphasizes platform support, patching, vulnerability remediation, L3 issue resolution, and automation initiatives utilizing Linux, Shell Scripting, and Ansible.

Responsibilities:

• Platform Engineering & Administration: Administer, maintain, and optimize MAPR and Hortonworks Hadoop clusters.
• Provide L3 support for complex technical issues related to cluster functioning, performance, and reliability.
• Monitor cluster health, capacity, performance, and security configurations.
• Patching & Vulnerability Remediation: Execute OS-level and platform-level patching across large-scale Hadoop clusters.
• Implement remediation for platform vulnerabilities in accordance with organizational InfoSec policies.
• Collaborate with other support teams to ensure compliance with standards and mitigation timelines.
• Automation Development: Develop, enhance, and maintain automation workflows using Linux, Shell Scripting, and Ansible.
• Automate recurring operational tasks including cluster patch deployment, configuration management, monitoring and ing integrations, and system health checks.
• Operational Support: Troubleshoot node failures, service crashes, cluster imbalance, and distributed computing issues.
• Perform root cause analysis for high-severity incidents.
• Ensure high availability and optimal performance of Hadoop platform services.
• Work closely with engineering teams to support consistency in deployment and configuration processes.

Mandatory Skills:

• Hands-on experience in Hadoop engineering and administration.
• Strong proficiency in MAPR and Hortonworks Administration.
• Deep understanding of Hadoop ecosystem components including HDFS, YARN, MapReduce, Hive, HBase, Spark, and Zookeeper.
• Experience with Linux system administration.
• Strong expertise in Shell Scripting and Ansible Automation.
• Experience with patching and security remediation for large-scale distributed systems.
• Understanding of configuration management, service orchestration, and cluster operations.

Preferred Skills:

• Exposure to DevOps tools such as Git.
• Experience with monitoring tools like Grafana, Prometheus, and Ambari.
• Understanding of ITIL processes including Incident, Change, and Problem management.

Qualifications:

• Strong analytical and troubleshooting skills for L3 support.
• Ability to work independently and in cross-functional teams.
• Excellent communication and documentation skills.
• Strong ownership mindset toward reliability and stability of platforms.

Solid Fundamentals and exceptional problem-solving skills

Solid and fluent understanding of algorithm and data structures

Proficiency in Scala + Spark

Experience Range: 3 to 7 Years

Requirement Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

Excellent programming skills and knowledge of Java / Scala

Excellent software design, problem solving and debugging skills

Experience with modern Big data technologies such as Spark, NoSQL, Cassandra, Kafka, Map Reduce, Hadoop ecosystem is a must have

Experience with data analytics and ability to mine data to obtain insights is much appreciated

Skills and competencies:

Required:

·        Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·        Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·        Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·        Flexibility in approach and thought process

·        Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment