19,908 Hadoop jobs in India
Cloudera Hadoop Developer
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Job Description
Monitor, troubleshoot, and escalate cluster issues using a variety of open source and proprietary toolsets.
Design, deploy, automate, maintain and manage cloud-based or on-prem production systems, to ensure the availability, performance, scalability, and security of production systems.
Work as part of an operational team and participate in and provide expertise to the development teams to troubleshoot known issues.
Perform an upgrade of the current Hadoop cluster to a higher version
Perform operating the system, service level, and application updates, patches for Hadoop Environments
Suggest architecture improvements, recommending process improvements
Ensuring critical system security is using best fit for purpose security solutions.
Align architecture with business requirements.
Evaluate and propose new tools and technologies to meet the needs of the organization.
System troubleshooting and problem-solving across cloud platforms and application domains.
Implementation and ongoing administration of Hadoop implementations at client sites or in the cloud. Also involves upgrading Hadoop platforms
Candidate should have:
Experience with working with workloads in the Hadoop platforms and securing Hadoop clusters
Excellent understanding of Python (3+ Years)
Excellent ability to gather and track requirements
Strong experience with creating, optimizing, and administering platforms (Cloud or on-premise) Hadoop platforms
Knowledge and experience with at least 2 Cloud platform (AWS, Azure, or Google Cloud Platform)
IaC experience with Terraform/Ansible/CloudFormation. (2-3 Years)
DevOps experience; ie. (Git + CI/CD + IaC)
5+ years of experience in Hadoop administration (preferably Cloudera), architecture, and deployments.
Hadoop developer / support
Posted today
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Job Description
• Hadoop development and Implementation.
• Loading from disparate data sets.
• Pre-processing using hive
• Ability to perform data quality checks in an orderly manner to understand how to utilize client data accurately.
• Expert level programming skills using Hadoop to meet the challenges of advanced data manipulation, complicated programming logic, and large data volumes is required.
• Ability to communicate results and methodology with the project team and clients. Should be able to work in the offshore/onshore modelAbility to meet deadlines and thrive in a banking environment.
• Provides solutions for data-driven applications involving large and complex data and providing reconciliation and test cases.
• Understand customer's business processes and pain areas which need attention
• Source system understanding and analysis.
• Solution Architecture for the entire flow from source to end reporting data marts.
• Design Conceptual and physical data model for a global data warehouse.in the Hadoop world (ETL versus ELT)
• High Level & Low-Level design for ETL Components in Hadoop
Hadoop developer / Admin and suppor...
Posted today
Job Viewed
Job Description
• Hadoop development and Implementation.
• Loading from disparate data sets.
• Pre-processing using hive
• Ability to perform data quality checks in an orderly manner to understand how to utilize client data accurately.
• Expert level programming skills using Hadoop to meet the challenges of advanced data manipulation, complicated programming logic, and large data volumes is required.
• Ability to communicate results and methodology with the project team and clients. Should be able to work in the offshore/onshore modelAbility to meet deadlines and thrive in a banking environment.
• Provides solutions for data-driven applications involving large and complex data and providing reconciliation and test cases.
• Understand customer's business processes and pain areas which need attention
• Source system understanding and analysis.
• Solution Architecture for the entire flow from source to end reporting data marts.
• Design Conceptual and physical data model for a global data warehouse.in the Hadoop world (ETL versus ELT)
• High Level & Low-Level design for ETL Components in Hadoop
Hadoop developer / Admin and suppor...
Posted today
Job Viewed
Job Description
• Hadoop development and Implementation.
• Loading from disparate data sets.
• Pre-processing using hive
• Ability to perform data quality checks in an orderly manner to understand how to utilize client data accurately.
• Expert level programming skills using Hadoop to meet the challenges of advanced data manipulation, complicated programming logic, and large data volumes is required.
• Ability to communicate results and methodology with the project team and clients. Should be able to work in the offshore/onshore modelAbility to meet deadlines and thrive in a banking environment.
• Provides solutions for data-driven applications involving large and complex data and providing reconciliation and test cases.
• Understand customer's business processes and pain areas which need attention
• Source system understanding and analysis.
• Solution Architecture for the entire flow from source to end reporting data marts.
• Design Conceptual and physical data model for a global data warehouse.in the Hadoop world (ETL versus ELT)
• High Level & Low-Level design for ETL Components in Hadoop
Sr. Hadoop Developer with Kafka
Posted today
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Job Description
• Sound knowledge of relational databases (SQL) and experience with large SQL-based systems.
• Experience with Java and shell scripting
• Excellent analytical capabilities - Strong interest in algorithms
• Proven understanding and experience with Cloudera Hadoop, IMPALA, Hive, Flume, HBase, Sqoop, Spark, and Kafka
• Ability to analyze the existing shell scripts/python code to debug any issues
• Ability to identify, analyze and address problems to resolve issues whenever possible in a way that minimizes negative impact and risk to the organization
• Ability to work closely with Architect, Developers, and testers to ensure requirements and functional designs are translated accurately into working technical designs and that test plans and scripts serve customer needs.
•Strong knowledge in performance tuning of Hadoop clusters and ecosystem components and jobs. This includes the management and review of Hadoop log files.
• in-depth understanding of data modeling
• 5+ years of experience in software design, development & maintaining Big data applications.
Sr. Hadoop Kafka Developer
Posted today
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Job Description
• Sound knowledge of relational databases (SQL) and experience with large SQL-based systems.
• Experience with Java and shell scripting
• Excellent analytical capabilities - Strong interest in algorithms
• Proven understanding and experience with Cloudera Hadoop, IMPALA, Hive, Flume, HBase, Sqoop, Spark, and Kafka
• Ability to analyze the existing shell scripts/python code to debug any issues
• Ability to identify, analyze and address problems to resolve issues whenever possible in a way that minimizes negative impact and risk to the organization
• Ability to work closely with Architect, Developers, and testers to ensure requirements and functional designs are translated accurately into working technical designs and that test plans and scripts serve customer needs.
•Strong knowledge in performance tuning of Hadoop clusters and ecosystem components and jobs. This includes the management and review of Hadoop log files.
• in-depth understanding of data modeling
• 5+ years of experience in software design, development & maintaining Big data applications.
Java Hadoop Developer with Leading Investment Bank
Posted today
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Job Description
Roles and Responsibilities
Diversity Hiring !8+ years of hands-on development experience in implementing Java/J2EE applications.
5+ years hands-on experience with Hadoop ecosystem (Hadoop, HDFS, HBase, Hive, sqoop, YARN etc)
Hands on experience of implementing Web services/microservices & client applications.
Hands on with writing SQL queries and good understanding of database concepts like transactions, Indexes, query tuning etc.
5+ years of strong experience of implementing distributed applications.
Ability to analyze the business requirements and delivery functionalities with minimal guidance.
Good analytical and problem-solving skills.
Hands on experience with development tools like JUnit/TDD, GIT, JIRA, Sonar etc.
Ability to analyze the business requirements and delivery functionalities with minimal guidance.
Excellent communication skills.
Should be a good team player and capable of working with different teams to get the job done
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Hadoop Administrator
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Hadoop Admin
Location - Bangalore ( 1st priority) / Pune / Chennai
Interview Mode - Level 1 or 2 will be F2F discussion
Experience - 7+ Yrs
Regular Shift - 9 AM to 6 PM
JOB SUMMARY:
1) Strong expertise in Install, configure, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark, Oozie, Zookeeper, etc.).
2) Monitor cluster performance and capacity; troubleshoot and resolve issues proactively.
3) Manage cluster upgrades, patching, and security updates with minimal downtime.
5) Implement and maintain data security, authorization, and authentication (Kerberos, Ranger, or Sentry).
6) Configure and manage Hadoop high availability, disaster recovery, and backup strategies.
7) Automate cluster monitoring, alerting, and performance tuning.
8) Work closely with data engineering teams to ensure smooth data pipeline operations.
9) Perform root cause analysis for recurring system issues and implement permanent fixes.
10) Develop and maintain system documentation, including runbooks and SOPs.
11) Support integration with third-party tools (Sqoop, Flume, Kafka, Airflow, etc.).
12) Participate in on-call rotation and incident management for production support.