- UpvoteDownvoteShare Job
- Suggest Revision
Big Data Architect SkillsExperience in working with Cloudera Big Data / data lake developments projectsDemonstrated hands-on experience with Cloudera Hadoop distributionsDemonstrated work experience with distributed, scalable Big Data programming model and technologies such as Hadoop, Hive, Pig, etc.
ExpandUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with Big Data technologies, particularly GCP BigQuery and Databricks Delta Lake. Extensive experience with big data technologies, including Spark and BigQuery.
ExpandUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Remote Data Scientist. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience with SQL. Experience with Big Data technologies in Azure such as Spark, Hive, Sqoop, Databricks or any other equivalent components. REMOTE - AZURE Big Data Engineer.
Full-timeRemoteExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Required Technical Skills: Python, Apache Spark, Big Query, PySpark, Cloud Composer, Cloud Dataflow, Cloud Spanner, Google Kubernetes Engine (GKE), Solution Architecture GCP, GITHUB, Data Fusion.
Full-timeRemoteExpandUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The developed tools will ultimately be integrated with TRMC’s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the ‘art of the possible’ with CHEETAS and other standard commercial Big Data tools.
ExpandUpdated 22 days ago - 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 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios, and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.
ExpandUpdated 22 days ago
big data jobs
FEATURED BLOG POSTS
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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.
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.