- UpvoteDownvoteShare Job
- Suggest Revision
5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$250Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data Processing - experience with building and maintaining large-scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper. Primary technologies used include Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS.
$200ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
BS degree in one of the following preferred: Data Science, Computer Science, Software Engineering, Software Development, Programming & Software Development, Computer Science, Computer Systems Engineering or Industrial.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka. Work closely with our software engineers to understand data processing needs and propose the right solutions for them.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. In this role, the successful candidate will be instrumental in driving GAM1's efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
We serve many end clients, some of which include Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonalds, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, Charles Schwab.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
$96,600 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience working with big data technologies (e.g., Hadoop, Spark, and Hive) as well as ETL tools (e.g., Apache Nifi, Talend, Apache Airflow) and real-time data processing technologies such as Apache Kafka are essential.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - 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 8 days ago
hadoop kafka jobs Title: principal software Company: Panalgo
FEATURED BLOG POSTS
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.
How to Decide Between Two Job Offers: 10 Practical Tips
It’s arguably a good predicament to have. You’ve applied to many jobs, interviewed multiple times, and now find yourself with two legit job offers. Nice! But although this is a feel-good validation of everything you have to offer, a daunting choice lies ahead. How do you decide which job will be the best fit for you?
Why Work in Sales? 9 Reasons & Tips on Answering as an Interview Question!
Working in sales can be demanding and challenging, but it can also be gratifying. Sales is an excellent career with a clear path full of excitement and potential for growth. So, if you're contemplating careers and have wondered "why work in sales?", keep reading to determine if sales is a suitable role for you.
Looking for New Candidates?
Before the turn of the century, recruiters could put their "help wanted" ads in the newspaper, and applications would pour in. Since then, recruiting has turned a new page. The use of the internet and other technologies allows recruiters to broaden their candidate pool for the simple reason being
Decline a Job Offer Professionally: When to Rescind
Your job search has finally paid off! After countless job applications, numerous emails, and several interviews, the hiring manager and other stakeholders have decided that you’re the right person for the job! All you have to do now is accept the offer and walk into the sunset, right?
Resume Job Description Samples - 8 Tips to Follow
When looking for a job, your resume becomes a crucial element. From making a great first impression to showcasing all your achievements and potential, your resume has to portray your professional story in minutes.
Tips to Get Your First Job Confidently
Whether you’re a recent graduate or you still have a few exams left, you may be itching to put your polished leather shoes on and join the workforce. After all, your first job is an entryway into the professional life you’d lead for the decades to come.