76 to 100 of 371 Apache Spark Jobs

APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join more »

tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary more »

to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in more »

success. 💼 What You Bring to the Table: Expertise in designing and deploying production data pipelines within a big data architecture using Java, Python, Scala, Spark, and SQL. Proven experience in tasks like scripting, API data extraction, and SQL queries. Collaboration with engineering teams and integration of data engineering components more »

understanding of cloud technologies (AWS, GCP, Azure, etc.) Desired – understanding of security frameworks/standards Desired – understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) Desired – understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, Grafana, ELK stack, Micrometer metrics, etc.) Desired – understanding of containers (Docker, Kubernetes, Helm more »

pipeline and workflow management and their tools such as Airflow. Strong understanding of relational SQL and NoSQL databases, including MongoDB and stream-processing systems: Spark-Streaming, Kinesis etc. Ability to understand any scripting language and tools. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and more »

and cloud providers like AWS, Azure, GCP or others. Experience in key technologies to be leveraged by the team including Java, Python/PySpark, Spark, CI/CD technologies Experience in Machine Learning Platforms and Data Science Technologies Experience working with a variety of data platforms such as S3 more »

and coding environments. Bonus Skills: Python/PHP/Typescript/ReactJS AI/ML models and usage ETL pipelines in AWS (Glue/Apache Spark) API Load testing If you would like more information on the role or like to apply for then please send your CV more »

Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal more »

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are more »

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are more »

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are more »

Data Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Experience with Object-oriented/object function scripting languages: Python preferred more »

working in an Azure environment with a focus on Azure Data Lake, Databricks, Azure Data Factory and Power BI architectures. Working with Python, SQL, Spark and Databricks, you will build, rebuild and maintain data pipelines as well as have the opportunity to work with CI/CD pipelines, Azure more »

messaging frameworks and/or distributed tracing/monitoring, this will put you in a good position. Tech stack includes AWS, GCP, Azure, Kafka, Spark, Zipkin, OpenTracing, Prometheus, Grafana, ELK stack, Micrometer metrics, Docker, Kubernetes, Helm, automating deployment, releases, testing in CI, continuous delivery pipelines. more »

frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month more »

Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles more »

Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles more »

Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles more »

mining, data analysis, and strong software engineering skills. Strong understanding of Data Engineering Proficiency in AWS, data warehousing (Snowflake, Databricks, Redshift), big data frameworks (Spark, Kafka), container orchestration platforms (Kubernetes), and data integration/ETL tools. Strong written and verbal communication skills, with the ability to explain technical concepts more »

services as containers (e.g. Docker, Podman). Streaming and/or batch storage (e.g. Kafka, Oracle) is a plus. Streaming processing (e.g., Kafka Streams, Spark Structured Streaming) is a plus. Working with cloud services (preferably with Azure). Experience in building API is a plus. Experience in data quality more »

CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure Streaming Analytics/Spark Streaming Azure Functions/C# .NET PowerApps Data Science Master Data Management/MDS WHY ADATIS? There’s a long list of reasons, from more »

RDBMS environments: Sybase ASE/IQ, Oracle or DB2 It would be great if you have: Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work more »

solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure and allied technologies. Expertise in data processing with tools like Spark or Dask, and fluency in Python, Scala, C#, or Java. Expertise in DevOps and CI/CD automation , ensuring seamless deployment with tools like more »

environment and/or comparable experienceSignifannt years of proven experience in Java, REST APIs, Spring Boot Framework, ReactJS, Redis, OpenShift, Elastic Stack, Kafka, Hive, Spark, UNIX/Linux and Oracle DBExperience with a statistical programming language (Python or R) and experience with libraries specifically for Machine Learning or Data more »