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Hadoop Production Support Jobs (NOW HIRING)

Job#: 3045130 Production Support Engineer Location: Charlotte, North Carolina or New York City, New ... Work with databases such as Oracle and Teradata, and have hands-on experience in Hadoop. * Manage ...

... Support development and production deployments as required. • Manage and monitor Hadoop cluster and platform infrastructure. • -Automate cluster node provisioning and repetitive operational tasks ...

Support development and production deployments as required. Manage and monitor Hadoop cluster and platform infrastructure. -Automate cluster node provisioning and repetitive operational tasks. Manage ...

Support development and production deployments. Qualifications Manage and monitor Hadoop cluster and platform infrastructure Automate cluster node provisioning and repetitive tasks. Manage Hadoop ...

The Hadoop Admin will support, implement and maintain bigdata and cloud infrastructure and will be ... production issues and coordinate with the development team to streamline code deployment. • ...

... production and have experience with 18/5 or 24/5 production environments. • Monitor Hadoop ... Hadoop clusters, supporting Business users. • Experience in Linux / Unix OS Services ...

Troubleshoot production issues with Hadoop Collaborate with other teams to design and develop data tools that support both operations and product use cases Minimum Qualifications Experience with ...

Contract Role: • Manage several Hadoop clusters in development and production environments • ... support for troubleshooting Qualifications: • Strong UNIX/Linux knowledge including the ability ...

Manage several Hadoop clusters in development and production environments Monitoring and ... vendor support for troubleshooting Qualifications: Strong UNIX/Linux knowledge including the ...

Should be able to provide Consultancy to client / internal teams on which product/flavor is best ... HDFS support and maintenance * Planning of Back-up, High Availability and Disaster Recovery ...

Should be able to provide Consultancy to client / internal teams on which product/flavor is best ... HDFS support and maintenance * Planning of Back-up, High Availability and Disaster Recovery ...

Should be able to provide Consultancy to client / internal teams on which product/flavor is best ... HDFS support and maintenance * Planning of Back-up, High Availability and Disaster Recovery ...

Should be able to provide Consultancy to client / internal teams on which product/flavor is best ... HDFS support and maintenance * Planning of Back-up, High Availability and Disaster Recovery ...

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Hadoop Production Support information

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How much do hadoop production support jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for hadoop production support in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

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Infographic showing various Hadoop Production Support job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Big Data Hadoop Engineer - Onsite

Pleasanton, CA • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Big Data Hadoop Engineer to lead their Big Data Engineering team. The role involves providing technical leadership, supporting IT strategy and planning, as well as mentoring and training team members.
Responsibilities:
• Lead the Big Data Engineering team.
• Provide professional services to support the long term IT strategy and planning.
• Conduct high level analysis, professional reports and presentations.
• Mentor, support and train team members.
Qualifications:
Required:
• 4+ years of hands-on Development, Deployment and production Support experience in Big Data environment.
• 4-5 years of programming experience in Java, Scala, Python.
• Proficient in SQL and relational database design and methods for data retrieval.
• Knowledge of NoSQL systems like HBase or Cassandra.
• Hands-on experience in Cloudera Distribution 6.x.
• Hands-on experience in creating, indexing Solr collections in Solr Cloud environment.
• Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL.
• Must have experience with developing Hive QL, UDF's for analyzing semi structured/structured datasets.
• Must have experience with Spring framework, Web Services, REST API's and MicroServices.
• Hands-on experience ingesting and processing various file formats like Avro/Parquet/Sequence Files/Text Files etc.
• Must have working experience in the data warehousing and Business Intelligence systems.
• Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs.
• Successful track record of building automation scripts/code using Java, Bash, Python etc. and experience in production support issue resolution process.
• Experience in building Client models using MLLib or any Client tools.
• Hands-on experience working in Real-Time analytics like Spark/Kafka/Storm.
• Experience with Graph Databases like Neo4J, Tiger Graph, Orient DB.
• Agile development methodologies.
• 5+ years of strong hands-on Design and Development experience in Hadoop/Big Data Environment.
• Strong Hands-on coding experience in Java, Scala and Python languages.
• Strong Hands-on experience with Spring framework, Web Services, REST API's and MicroServices.
• 3+ years of Hands-on experience building data pipelines using Hadoop components Sqoop, Kafka, Hive, SOLR, Map Reduce, Spark, Spark SQL, HBase etc.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.