- UpvoteDownvoteShare Job
- Suggest Revision
Data Engineer Specializing in ADF (Azure Data Factory), Databricks, Spark SQL, and Dashboard Development. We are currently seeking a skilled Data Analyst with proficiency in Azure Data Factory (ADF), Databricks, Spark SQL, and dashboard creation.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Solid experience in building Big Data Pipelines (Batch and NRT) on Hadoop Ecosystem including HDFS, Hive, Spark, Scala, Sqoop, Kafka, NiFi, and real time streaming technologies and host of big data open source stack.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. A multinational organization with 48 offices in 19 countries and the possibility to work abroad.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Must Have: Strong Snowflake, migration from data lake to Snowflake, strong in data integration like snowpipe, informatica, python, spark, AWS. Strong Architect profile. Should have strong hands on experience Hadoop Eco System, SPARK, IMPALA, HIVE, HBASE, PYTHON, JAVA.
$65 - $70 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks) Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Full Stack Engineering practice - Designing, developing, deploying & testing Hands on experience with Python - Django, Flask, Pandas Hands on experience with Spark framework using Python (PySpark) Hands on experience with AWS Services - S3, SNS, SQS, Glue, Step functions, Lambda, API Gateway, Cloudwatch alarms, Terraform.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data Processing (Hadoop, Spark, Alteryx) Advanced Required. Data Processing (Hadoop, Spark, Alteryx) Advanced Required. Innovation: Stay at the forefront of data science and machine learning advancements, identifying opportunities to pioneer creative solutions and propel our organization forward.
$180,000 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Resource should have excellent SDLC skills and proficient in AKS, AAD, ADLS and Databricks/Spark computing. Resource should have excellent SDLC skills and proficient in AKS, AAD, ADLS and Databricks/Spark computing.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience with Spark framework using Python (PySpark) Hands on experience with Python - Django, Flask, Pandas. Hands on experience with AWS Services - S3, SNS, SQS, Glue, Step functions, Lambda, API Gateway, Cloudwatch alarms, Terraform.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Perform data engineering with Azure Synapse Apache Spark Pools. Write SQL, Spark or KQL code and integrate with enterprise CI/CD processes. Monitor resources, usage, and users across SQL, Spark, and Data Explorer.
$65 - $68 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Good in Bigdata/Hadoop Ecosystem – Hive, Spark, Sqoop · Very good ETL & Data Warehousing knowledge should have hands on experience in writing complex SQL scripts. Automation ETL Testing. Good in Bigdata/Hadoop Ecosystem – Hive, Spark, Sqoop · Very good ETL & Data Warehousing knowledge should have hands on experience in writing complex SQL scripts.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn. Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn. This individual's day-to-day work will involve using Java, Scala, SQL, Big Data, Linux, git, and maven/gradle to design and build software solutions that are fast, scalable, and flexible.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 3 years of professional experience in data engineering, working with Java, Python, Spark, and big data technologies. Proven experience in Spark cluster management, optimization, and performance tuning.
ExpandApply NowActive JobUpdated Yesterday
spark job in Piscataway, NJ
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.