- UpvoteDownvoteShare Job
- Suggest Revision
Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Responsibilities: •Architect and design big data storage and analytic solutions on Hadoop–based platform, create custom analytic and data mining algorithms to improve performance.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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 Today - UpvoteDownvoteShare Job
- Suggest Revision
Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Key Qualifications: 3+ years of experience building enterprise level applications on large-scale distributed systems Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of data testing in DBT and Google Cloud certifications are a big plus. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets in GCP.
$81,500 - $137,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with Databricks for big data processing and analytics. Minimum of 10 years of experience in data engineering roles and 2+ years leading / maintaining data DevOps for Data Pipeline and ETL solutions with a focus on SQL, Databricks, Postgres, and Redshift.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
ExpandApply NowActive JobUpdated 4 days ago
big data jobs Title: hadoop Company: Dice
FEATURED BLOG POSTS
How To Decorate a Cubicle for Inspiration & Productivity
You know the negative reputation cubicles have – dull, dreary, gray. How can you possibly be expected to sit in one every day and be your naturally productive, enthusiastic, and upbeat self? The answer lies in decorating your cubicle so it sparks creativity and feels welcoming. While this might seem impossible given the bland canvas you have to work with, take heart because it’s totally doable!
How do Employers Verify Education?
At any stage in your professional journey, you may come across an employer or a recruiter who asks to verify your educational credentials. This shouldn’t come as a surprise as 30% of candidates admitted to lying on their resumes, yet 79% of them never get caught. In fact, 85% of employers in the US who conduct background checks find that candidates have lied on their resumes or job applications.
How to Be More Articulate and Speak More Clearly
Have you ever had those moments when you're talking to someone and have no idea what they are saying? The best response you can muster up is a simple head nod or blind agreeance?
How to Ask for a Higher Starting Salary
Maybe you think you’ve finally found your dream job. Everything about it is perfect, except… the salary. Unfortunately, it just isn’t where you want it to be. So, should you give up and move on? Given all the effort you’ve already invested, it’s probably wise to try and negotiate a better salary before you do.
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.
10 Practical and Effective Strategies to Persuade Anyone of Anything
Learning how to persuade people is like a key that can unlock any door. Acing the interview for the job of your dreams. Getting the best deal on a new car. Closing a sale with a skeptical customer. All of these wins require a level of persuasiveness.