- UpvoteDownvoteShare Job
- Suggest Revision
Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Certification in big data technologies or cloud data services ● Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus Benefits: Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Projects range from data integrations with enterprise systems (e.g. Netsuite, HRIS) to building big data solutions to host predictive modeling. Experience with big data solutions (e.g. Hadoop), especially in service of hosting ML models.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
$150ExpandApply 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.
ExpandApply NowActive JobUpdated 11 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.
Full-timeExpandApply NowActive JobUpdated Today
big data jobs Company: Jp Morgan Chase Co in Amarillo, Texas
FEATURED BLOG POSTS
How to Call Out of Work
No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
What is Seasonal Employment?
Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
How to Avoid a Bad Hire
"A new employee who doesn't meet the minimum performance, quality, and culture fit standards you set when you began sourcing and recruiting. Additionally, bad hires will immediately show signs of self-interest instead of an interest in their role and the company."
How to Ask for a Letter of Recommendation
When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
16 Tech Jobs You can Get Without a College Degree
You might think that if you don’t have a computer science, information technology, or related degree, then there’s absolutely no way you can break into the technology field and score a high-paying tech job. But this is a misconception. There are actually tons of tech jobs out there that don’t require a college degree. Instead, employers are more interested in the skills that you can offer. So, read on to learn more about how to land tech jobs without a degree.
What Are SMART Goals?
When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.