- UpvoteDownvoteShare Job
- Suggest Revision
Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Program management in big data engineering. Conceptual understanding of big data engineering. Project management experience in a large-scale data engineering environment required.
$236,300 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big 4 consulting experience and expertise in process improvement methodologies such as Kaizen or Six Sigma are a plus. The Senior Internal Auditor will lead end-to-end financial, operational, and compliance audits across AWS, leveraging large data sets to provide valuable insights.
$60 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will inspire the team to think big and explore new ideas, insist on the highest standards for interaction and visual design patterns, and build trusted partnerships with product and engineering teams.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Join a rapidly growing team of software engineers that are building best-in-class tools and large-scale distributed systems managing Big Data on AWS infrastructure. We process big data and are building our next generation data portal for customers to ingest, explore, and manage their data and query workloads.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Passionate and self-motivated about technologies in the Big Data area. Experience with ETL(Extraction, Transformation & Loading) and architecting data systems; As a data engineer in the Global E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We need expertise to configure, deploy and execute Azure cloud solutions to deliver big-data processing, as well as distributed REST API services for customer facing products. What you'll doThe Common Data platform team is chartered to build the high availability data backend for AI, analytics and reporting needs for DocuSign customers.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are specialized SAP, Cloud, and Big Data consulting company. SAPSOL technologies Inc is looking for SAP consultants in the FICO, SD, MM, HCM, Success Factors, BIBO, PS, PP, ABAP, Hana Cloud, and BASIS to implement the project for SPIL (SAPSOL Product Innovation Lab) project program.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$217,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct user interviews, user testing sessions, card sorting, affinity mapping and analyze the data. Ability to combine personal creativity with the influence of market and research data.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks. Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
$95 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Should be conversant with GCP services, like GCS, dataflow, data-proc, cloud-pub-sub, big-query etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Looking for an experience SRE with some data engineering background or experience. Understanding of Data SQL / Databricks. Experience with Docker and Kubernetes will be a big plus.
ExpandApply NowActive JobUpdated 10 days ago
big data jobs Company: Inc in Seattle, Amarillo, Texas
FEATURED BLOG POSTS
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.