- UpvoteDownvoteShare Job
- Suggest Revision
Service Management~ Administer, configure, and maintain Hadoop ecosystem services within both Cloudera Data Platform (CDP) and Cloudera Distributed Hadoop (CDH), including HDFS, YARN, Hive, Spark, Ranger, Sentry, Kerberos security, KMS, KTS, Zookeeper, and more.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience on Apache Hadoop ecosystem components like MapReduce, Sqoop, Pig, Hive, HBase, Spark, Kafka, Oozie, Flume, Zookeeper. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with the Hadoop ecosystem and related tooling (Spark, HDFS, Databricks). Experience with online game service APIs, particularly Xbox Live, Sony NP, Steam, and Epic Games. Familiarity with the Hadoop ecosystem and related tooling (Spark, HDFS, Databricks.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. Development skills around Hadoop, Spark, PySpark, Hive.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with big data technologies such as Apache Spark, Hadoop, etc. You will work on features that touch all Apple Services Engineering Commerce services — from account management, application, music, and video purchase / download / entitlement, subscription management, and a lot of new features coming to the Apple product ecosystem.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Some experience understanding the AI/Client approachesMust understand the package management for various environments (Python, R, and Hadoop environments)Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive, and SparkPython, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design, develop, and maintain high volume Java and Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Extensive technical skills covering:Microsoft technologies; JAVA and J2EE; Service-Oriented Architecture (SOA) and Web Services (SOAP/REST/Microservices); Hadoop ecosystem; Linux environment; Relational (RDBMS) and Non-relational (NoSQL) databases; E-commerce and Mobile platforms; AWS cloud services; Containerization with Docker (Swarm, Kubernetes); Elasticsearch, MongoDB, Redis (master/slave/sentinel); CI/CD pipelines using Jenkins, Ansible, Rundeck, and JFrog Artifactory.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data Engineer 4 will design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem; You will be given the opportunity to own the design and implementation; You will collaborate with Product managers, Data Scientists, Engineering folks to accomplish your tasks.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Engineering, Computer Science, or related field and 5 years of progressively responsible, post-baccalaureate experience as a Data Analytics Manager, Data Engineering Manager, Software Developer, or related position involving Big Data analysis in Retail and Commercial Banking domain in Hadoop ecosystem.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena)Experience with other AWS components like Cloudwatch, EKS, KMS, Lambdas, S3 is a strong plusExperience with downstream consumption patterns (reports, dashboards) is a plusExperience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plusWe recognize not everyone will have all of these requirements.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands on in Hadoop Ecosystem (Kafka, Spark, Scala, Hive) is a plus. Site reliability engineering (SRE) fuses the software engineering and operations disciplines. Knowledge/Experience in Core Java, GoLang, Rust,Python.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Deep knowledge in Hadoop ecosystem, like HDFS, Hive, MapReduce, presto etc. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Hadoop ecosystem components - HDFS, YARN, MapReduce & cluster management tools like Ambari or Cloudera Manager and related technologies. We are looking for a Senior Hadoop SRE ( Hadoop Reliability Engineer ) to join our digital platform team for new initiatives.
ExpandApply NowActive JobUpdated 6 days ago
hadoop ecosystem jobs
FEATURED BLOG POSTS
How to Fire an Employee
So… you've finally decided to let one of your employees go. Drafting the paperwork and corresponding with HR is the easy part, but knowing how to fire an employee is where things get complicated. In fact, it is one of the most challenging conversations to have in the workplace. However, it must be done, and it must be done with poise and tact. Not only should you keep your state law in mind, but you should also consider your former employee's wellbeing.
How Long Does it Take to Hear Back from a Job?
Are you applying for your very first job? Maybe you’re anticipating your termination from your current role and want to be proactive. Either way, waiting to hear back on your job application can be stressful. If time has passed since you applied, you may wonder how long does it take to hear back from a job. Well, the answer is... it depends.
How to Respond to a Recruiter Through Email? (Tips & Examples)
Rather than wading through an endless list of open roles, wouldn’t it be nice if relevant job opportunities come to you?
How to Reject a Candidate Professionally
When deciding on how to reject a candidate, your first question may be
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.
How Does Salary Range Work (With Examples)
What are your salary expectations? Do you know? Establishing a salary that compensates you fairly and keeps you happy at work can feel like taking a shot in the dark. And employers sure don’t make learning budgets easy!