26 to 50 of 157 Permanent Apache Jobs

MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using Apache Spark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol Senior Python Developer more »

proficiency in SQL for data querying and transformation. ● Programming skills in Python, including experience with basic libraries like os, csv, and pandas. ● Experience with Apache Airflow for workflow management. ● Experience with enterprise DBMS (e.g., DB2, MS SQL Server) and cloud data warehouses, particularly Google BigQuery. ● Proficiency in Google Cloud more »

the aviation industry or a related domain. Proficiency in programming languages such as Python or Java, and experience with data processing frameworks such as Apache Spark or Hadoop. Strong SQL skills and experience working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms and services more »

experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming A desire to work in the commodities/trading sector. Permanent/Full-Time Employment. Hybrid more »

data analysis techniques Ability to produce clear graphical representations and data visualisations. Knowledge of data analysis tools, for example, R Programming, Tableau Public, SAS, Apache Spark, Excel, RapidMiner Knowledge of data modelling, data cleansing, and data enrichment techniques An understanding of data protection issues Experience of working with Cloud more »

data analysis techniques Ability to produce clear graphical representations and data visualisations. Knowledge of data analysis tools, for example, R Programming, Tableau Public, SAS, Apache Spark, Excel, RapidMiner Knowledge of data modelling, data cleansing, and data enrichment techniques An understanding of data protection issues Experience of working with Cloud more »

experience with Laravel, or similar frameworks are welcome) SQL (MySQL/MariaDB) HTML/CSS/JavaScript (E.g. jQuery) Good understanding of OOP principles Apache or Nginx web server (ideal) Desirable: Knowledge of SvelteJS Roundcube experience (web mail) – customisation for authentication, data privacy, branding, UI, etc Unit testing Continuous more »

including data backups and restores. Provisioning Systems: Provision systems according to the evolving needs of the team, including technologies like Tomcat, Java, Apache httpd, nginX, MySQL, Redis, MongoDB, etc. On-Call Support: Provide on-call support for Linux and cloud infrastructure. Requirements: Educational Background: Degree in Computer Science, Computer more »

Python. Develop real-time streaming features using big data tools such as Spark. SKILLS AND EXPERIENCE Extensive experience using big data tools such as Apache Spark. Experience working in and maintaining an AWS database. Strong Python coding background. Good knowledge of working with SQL. THE BENEFITS Generous Holiday plan. more »

in computer science, information technology, technology engineering or equivalent Strong interest in the data infrastructure landscape and related topics Experience with technologies such as Apache, Docker, Parquet, Python, Spark, Airbyte and Airflow Detailed understanding of Linux OS’s. Experience with ETL processes, data lakes, data warehouses, relational databases, and more »

a Senior Software Engineer for this role, you will collaborate with the founding team to contribute to the broader integration of our product with Apache Spark and maintain the solution up to date and compatible with a variety of supported runtimes. Your contributions to our core solution will directly more »

data management. Expert in AWS Databricks Expert in SQL & relational database systems (PostgreSQL preferred) Proficient knowledge in working with distributed data processing frameworks like Apache Spark. Hands-on experience in Python and Pandas Experience in overall architecture of big data systems within AWS Experience in Global Companies a great more »

framework). · Experience crafting REST API’s. · HTML5, CSS3, JavaScript. · Ability to write optimised complex queries and maintain MySQL databases. · Ubuntu and Nginx/Apache server management. · Experience with version control (ideally GIT). · Experience writing and maintaining appropriate documentation for each stage of the software development lifecycle. · Agile more »

employees Driving change and handling difficult situations Dealing with change on a daily basis Ability to demonstrate the value of changes introduced Web servers - Apache, nginx, IIS, Drupal Databases - Oracle, MYSQL, MSSQL Traffic Management - F5, Haproxy, Keepalived CDNS - CDNetworks, Akamai, Incapsula Scripting - Bash, Bat, Python, Perl Programming Languages - PHP more »

EC2, Saltstack CI/CD: Jenkins, GitLab CI/CD Data/Messaging: Amazon Aurora (Postgres), ElastiCache (Redis), AmazonMQ (RabbitMQ) API: Tyk API Gateway, Apache Monitoring/Logging: Datadog, SumoLogic Security: IAM, Security Groups, mTLS Other: VPC and general networking more »

data engineering, ETL development, or related roles. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam. Strong understanding of database technologies (e.g., SQL, NoSQL) and data warehousing concepts. Familiarity with cloud platforms more »

as R, Python, Azure, Machine Learning (ML), and Databricks. Essential criteria and experience Proficiency in one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc. Proficiency in Azure Machine Learning and Azure DataBricks. Pro-activity and self-starting attitude. Excellent analytical and problem-solving ability. Interest in more »

use many times Technical Skills: Power BI report design, data modelling, and measure/column definition (DAX) Good Working Knowledge of SQL Use of Apache Spark with Spark SQL, Python, R, or similar Experience with incremental data warehouse updates, and CDC from source Highly skilled in data management and more »

processing, and analytics. Programming Skills: Proficiency in Python, SQL, and other relevant programming languages. Big Data Technologies: Experience with big data technologies such as Apache Spark. Data Warehousing: Strong knowledge of data warehousing concepts and solutions. Problem-Solving: Excellent problem-solving skills with a detail-oriented approach. Leadership: Proven more »

build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would love to share more »

and Saltstack CI/CD: Jenkins, GitLab CI/CD Data/Messaging: Amazon Aurora (Postgres), ElastiCache (Redis), AmazonMQ (RabbitMQ) API: Tyk API Gateway, Apache Monitoring/Logging: Datadog and SumoLogic Security: IAM (Identity Access Management), Security Groups, mTLS Other: VPC and general networking In return, they would be more »

such as design, thermal modelling , energy analysis, PartL/EPC compliance and dynamic simulation Excellent understanding of IES-VE, HVAC, Macro flow, Vista-Pro, Apache Systems and the ability to extract sustainable outputs (For the support of BREEAM, LEED etc) Ability to forecast resource input on projects, manage budgets more »

Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and to build data more »

one of the biggest financial services organisations in the world. The successful candidate will be responsible for designing, building, and maintaining data pipelines using Apache Spark and Scala. This includes tasks like: Extracting data from various sources (databases, APIs, files) Transforming and cleaning the data Loading the data into … Big Data technologies: You'll likely work with various Big Data technologies alongside Spark, including: Hadoop Distributed File System (HDFS) for storing large datasets Apache Kafka for real-time data streaming Apache Hive for data warehousing on top of HDFS Cloud platforms like AWS, Azure, or GCP for … of IT Experience with designing, building, and maintaining data pipelines. At least 4+ Years of experience with designing, building, and maintaining data pipelines using Apache Spark and Scala Programming languages: Proficiency in Scala and Spark is essential. Familiarity with Python and SQL is often a plus. Big Data technologies more »

Docker, Linux, Git, Azure DevOps Databases: Azure SQL, MongoDB Backends: Java/Spring, C#/.NET Core Frontends: Typescript/ReactJS Search and AI: Apache Lucene, Huggingface Data: Azure Data Factory, Apache Hop Test: Playwright Legacy: Windows, .NET Framework What is in it for you? We offer an more »