- UpvoteDownvoteShare Job
- Suggest Revision
Basic understanding of distributed computing and big data technologies such as Apache Hadoop, Spark, or Kafka. Familiarity with DevOps scripting languages (Gitlab CI/CD) AWS Cloud Practitioner or AWS Associate Level Certification Streaming data experience: Kafka, Firehose, Kinesis, etc ElasticSearch or OpenSearch integration.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Technical Skills: Skill Years/Level of Experience Google Looker Data Platform P3 - Advanced Big Data Analytics P3 - Advanced Google Cloud Platform P3 - Advanced Google BigQuery P3 - Advanced.
TemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
$4 - $10RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi. As a data strategist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. is seeking a Data Engineer to support a program in Crystal City, VA (Hybrid 2-3 days in office.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
$150ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks. Collaborate with our data engineering team to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks' ML offerings.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated experience using big data processing tools such as Apache Spark or Trino. Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Assist Data Center Manager with the database management of maintenance discrepancies and work with Operations management to resolve site issues based on agreed upon priorities. Work with and provides guidance, to the site Data Center Manager to determine maintenance requirements for mechanical and electrical systems.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
Full-timeExpandApply NowActive JobUpdated Today
big data jobs Title: data project manager Company: Oracle in Vienna, VA
FEATURED BLOG POSTS
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
How to Build a Supervisor Resume
Writing a great supervisor resume doesn't have to be rocket science. All you need to do is figure out what the company requires and how best to appeal to their needs. In other words, see the resume as your “key” into any organization of choice.
The Ultimate Guide to Writing a Stellar Sales Manager Resume
Have you been working in sales for several years now and feel ready to move up the career ladder? Do you enjoy leading sales teams and developing strategies to drive company sales? Would you describe yourself as a strong communicator, negotiator, and closer? If so, then there’s a good chance that a sales manager position might be the ideal fit for you.
How to Write a Chief Operating Officer Resume + Sample
Are you looking to become the Chief Operating Officer in your company of choice? Do you want to create a compelling COO resume that will earn you the job? This article is for you.
Get Ready, The Beginning of the Year is the Best Time to Job Search
Frankly, if you need a job, the best time to apply for one is right now. But, regardless of timing, the competition is fierce and job seekers should do everything they can to score an advantage. Understanding when companies hire, the typical hiring season trends, and the right time of year to apply for jobs will give you the best chance at success.