- UpvoteDownvoteShare Job
- Suggest Revision
Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. Data Hadoop Engineer. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Big Data/analytics/information analysis/database management in the cloud.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Databricks Certified Developer or Databricks Certified Data Engineer certification.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist Intern at Big Tech Company, you will be responsible for establishing a data-driven culture of exploitation for our consumer products. Data Scientist Intern | Big Tech Company.
InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
ExpandApply NowActive JobUpdated Today - 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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We're looking for a Senior Software Engineer passionate about tackling big data challenges in the next-generation data clouds. Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Title: big data software engineer Company: World Wide Technology
FEATURED BLOG POSTS
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
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!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
Why is Professionalism Important & How to Be Professional
You might have heard the word professionalism thrown around in the workplace, but do you know what it means? And do you know how to maintain professionalism no matter the circumstances?
Why Cover Letters Are Important & How To Write One | Job\Searcher
Most people completely waste their cover letter real estate. Your cover letter is another opportunity to speak directly about how your background and capabilities align with the opportunity you seek. It also allows you to introduce your personality a bit more than a resume does. So, why are cover letters important? Because you can stand out, big time, with a custom cover letter directed to the right person.
Hiring Again After Mass Layoffs
It's never an easy decision to let members of your staff go, but depending on the state of your business, mass layoffs may have been the only way to survive. Now that you're months into the future, you may find yourself itching to start hiring again after previous layoffs.