- UpvoteDownvoteShare Job
- Suggest Revision
Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
$160,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Our ALOHA™ and Voltaix® products are critical to the manufacturer of the newest computer chips required for Big Data and the Internet of Things. Our ALOHA™ and Voltaix® products are critical to the manufacturer of the newest computer chips required for Big Data and the Internet of Things.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big data engineer. Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce. Experience building and optimizing 'big data' data pipelines, architectures and data sets.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Through the passion and diversity of its people, Air Liquide leverages energy and environment transition, changes in healthcare and digitization, and delivers greater value to all its stakeholders. Every day, breakthroughs are making technologies – from micro-processors, memory chips and flat panels to photovoltaic cells – even smaller and more powerful, opening up countless new possibilities in how the world lives, works and connects.
ExpandUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong experience in Big Data, Cloudera Distribution 7. 4-5 experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase. Strong Experience with Amazon EMR/Databricks/Cloudera CDP.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Data Science and Big Data technologies, Hadoop, Spark, Hive. Experience with Automation and profiling tools such as SOAPUI, Postman, Jmeter, Loadrunner, Gatling, JProfiler, Jconsole, and system tools vmstat/top.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big data processing using azure HDInsight spark clusters. - Data Science Use cases using services like. Analytics – Synapse, Data Factory, EventHub, HDInsight. - ELDS (enterprise lab data store) use cases.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus. Experience operating in a modern cloud environment such as AWS, GCP, or Azure or large-scale data centers is a plus.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
ETL, Big data platform (ADLS / Data Bricks / AI / ML / Synapse / DBT). Prepare and present potential technical designs and solutions for Data pipelines and DataOps in GCP and Azure cloud environments.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design, develop, document, and design big data applications using Azure cloud services. Experience with Google Data Platform, Big Query, Develop code using knowledge of SQL, NoSQL, data warehousing, Scala, Spark, Hive & Hadoop.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Technical expertise in skid specification, process design, and installation of vendor fabricated equipment (distillation systems, gas cabinets, wash systems, ovens, filling stations, etc) This role’s key focus is validating the package design incorporates improvements from early development systems and operations learnings, and standardizes the design implementation across product lines.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data storage, analytics, and visualization solutions (MongoDB, Hadoop, Spark, Tableau etc.) Machine Learning - Data Scientist - ETA (Inter-modal Transportation Domain.
ExpandApply NowActive JobUpdated 7 days ago
big data jobs in Pleasanton, CA
FEATURED BLOG POSTS
When to Tell Your Boss You're Job Searching
The Bureau of Labor Statistics has found that individuals, on average, have 12.4 jobs throughout their working life. So regardless of where you are on the career ladder, it’s inevitable that at some point, you’ll begin looking for another job. That said, you might be wondering,
What Questions Can You Not Ask in an Interview?
It can be stressful to interview candidates to fill an open role at your company. Maybe your boss is on you to hire someone who’s absolutely perfect as soon as possible. Maybe you don’t have a ton of experience yet in conducting interviews. Whatever the case, there’s a lot to take under consideration when you’re the one in charge of interviewing. For instance, “What questions can you not ask in an interview?” may very well be running through your mind given its legal ramifications. Knowing exactly which interview questions are off-limits (and which are fine to ask) will boost your confidence as you continue to search for the ideal new hire.
How to Prepare to Be Fired - What You Need to Do
If you’re reading this, let me be the first to tell you how sorry I am. Getting fired feels crappy, disheartening, hurtful, and all the other bad, sad words. But here’s what I want you to do. First, let yourself fumble for a minute. Then, pick your head up — sometimes getting fired is a blessing in disguise. If you think termination is around the corner, we’ll teach you how to prepare to be fired and what to do next so you land somewhere even better.
How to Find a Job That Makes You Happy - 11 Concerning Facts
Do you ever feel like your life is like one of those rom-com movie scene openers? You know, the ones where the main character rolls out of bed, awakened by a casually upbeat theme song, sulks their way to the coffee pot, and then trudges toward their computer to begin yet another boring day at work?
How to Decline a Job Offer You Already Accepted
When you think about it, turning down a job offer is not the worst position you could be in. If you’ve been lucky enough to consider multiple job offers, well, then you’re lucky enough.
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.