- UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with Machine Learning algorithms and the ability to support implementing them using Databricks MLflow is a plus. Strong understanding of Apache Spark, as Databricks is a unified analytics platform for Apache Spark.
$143,800 - $215,800 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). In-depth knowledge of Apache Spark, Pyspark and Databricks architecture.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in ETL (Extract, Transform, Load) tools such as Informatica PowerCenter, IBM DataStage, Talend, Microsoft SSIS (SQL Server Integration Services), or Apache NiFi/Airflow and ability to design and implement complex transformation in Python, Spark, Microsoft SQL, Spark-SQL, JOLT transformation.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Role: Machine Learning Engineer. Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
$70 - $80 an hourExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Machine Learning Engineering - Dallas, TX (Hybrid) Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Design and implement data integration solutions, leveraging ETL/ELT tools such as Apache Spark, Informatica PowerCenter/BDM, and SSIS. 5+ years of experience with ETL/ELT tools like Apache Spark, Informatica PowerCenter/BDM, or SSIS.
$130,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Frameworks: Spark, PySpark, Python, Apache Airflow and Cassandra, Sprint Boot Micro Services, Apache Camel, Angular 6 UI Framework. Build near real time data pipeline with Apache Spark, Pyspark & Python to extract data from NoSQL DBs and Load it into Cassandra Data Enterprise Graph.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
2+ years experience with Apache Spark and Databricks cloud tool sets (AWS or Azure). 2+ years experience with Apache Spark and Databricks cloud tool sets (AWS or Azure). 1+ years experience with GCP/Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with ETL tools Apache Spark or Talend or AWS Glue or AWS AirFlow or Kafka. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with statistics/machine learning packages like TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib. Experience with Big Data technologies such as Hadoop and Spark.
$107,000 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Must hands on in Druid Google cloud platform - BigQuery, Compute engine, Composer, GCS, Cloud SQL Python, Spark Shellscript, SQLTeradata is a plus. Apache Druid, Google Cloud Platform, Linux, Apache Airflow, Google Compute Engine, GitLab, BigQuery.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required.
$140,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago
machine learning apache spark plus jobs Company: Eightfold in Dallas, TX
FEATURED BLOG POSTS
How to Write a Follow-Up Email for a Job Application?
Most times, we have to do more than submit a "sugar-coated" resume to land our dream jobs. Going the extra mile to follow up on your job application can increase your chances of employment. Additionally, it may even help you get confirmation sooner on whether you are seriously being considered for the job or not.
How to Hire Remote Workers
Remote work used to be a thing of the future. However, with social, economic, and cultural events taking place across the country, it has now evolved into something that both job searchers AND companies are benefiting from. Remote work is multifaceted and can come in handy in a variety of situations. So, to help your small business take advantage of all of remote work's benefits, here is a short guide on how to hire remote workers.
How to Address a Cover Letter With Examples
It’s easy to get caught up in focusing on your resume – how it looks, what it says, and whether it’s going to land you a job interview. Because there is a big focus on building the perfect resume, job searchers often overlook the importance of a high-quality cover letter. Your cover letter plays a huge role in your first impression. It humanizes you and provides context for your resume.
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 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!
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.