Job Description
Hi All ,
We have immediate openings for Below Requirement
Role : Hadoop Administration
Skill : Hadoop Administrator(with EMR, Spark, Kafka, HBase, OpenSearch, Snowflake, Neo4j, AWS)
Experience : 4 to 9yrs
Work location : Hyderabad
Interview Mode : 1sr round virtual & 2nd round F2F
Notice Period : 15 to immediate joiners only
Interested candidates can share your cv to
Mail : sr**********i@so************e.com
Contact : 7075751***
JD FOR Hadoop Admin:Hadoop Administrator(with EMR, Spark, Kafka, HBase, OpenSearch, Snowflake, Neo4j, AWS)
Job Summary:We are seeking a highly skilled Hadoop Administrator with hands-on experience managing distributed data platforms such as Hadoop EMR, Spark, Kafka, HBase, OpenSearch, Snowflake, and Neo4j.Key Responsibilities:Cluster Management:
- Administer, manage, and maintain Hadoop EMR clusters, ensuring optimal performance, high availability, and resource utilization.
- Handle the provisioning, configuration, and scaling of Hadoop clusters, with a focus on EMR, ensuring seamless integration with other ecosystem tools (e.g., Spark, Kafka, HBase).
- Oversee HBase configurations, performance tuning, and integration within the Hadoop ecosystem.
- Manage OpenSearch(formerly known as Elasticsearch) for log analytics and large-scale search applications.
Data Integration & Processing:
- Oversee the performance and optimization of Apache Spark workloads across distributed data environments.
- Design and manage efficient data pipelines between Snowflake, Kafka, and the Hadoop ecosystem, ensuring seamless data movement and transformation.
- Implement data storage solutions in Snowflake and manage seamless data transfers to/from Hadoop(EMR) and other environments.
Cloud & AWS Services:
- Work closely with AWS services such as EC2, S3,ECS, Lambda, IAM, RDS, and CloudWatch to build scalable, cost-efficient solutions for data management and processing.
- manage AWS EMR clusters, ensuring they are optimized for big data workloads and integrated with other AWS services.
-Security & Compliance:
- Manage and configure Kerberos authentication and access control mechanisms within the Hadoop ecosystem (HDFS, YARN, Spark) to ensure data security.
- Implement encryption and secure data transfer policies within Hadoop clusters, Kafka, HBase, and OpenSearch to meet compliance and regulatory requirements.
- Manage user roles and permissions for access to Snowflake and ensure seamless integration of security policies across platforms.
Monitoring & Troubleshooting:
- Set up and manage monitoring solutions to ensure the health of the Hadoop ecosystem and related components.
- Actively monitor and troubleshoot issues with Spark, Kafka, HBase, OpenSearch, and other distributed systems.
- Provide proactive support to address performance issues, bottlenecks, and failures.
Automation & Optimization:
- Automate the deployment, scaling, and management of Hadoop and other big data systems using scripting languages (Bash, Python) .
- Optimize the configurations and performance of EMR, Spark, Kafka, HBase, OpenSearch.
- Develop scripts and utilities for backup, job monitoring, and performance tuning.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT Infrastructure Services
Role: IT Infrastructure Services - Other
Employement Type: Full time
Contact Details:
Company: Sonata Software
Location(s): Hyderabad
Keyskills:
Snowflake
Kafka
EMR
HBase
OpenSearch
Neo4j
Spark
AWS