in log management tools to troubleshoot issues as well as identify useful analytics data. Preferred Experience in Microsoft Azure services and Databricks Spark, Redshift, Hadoop Map-Reduce or other Big Data frameworks Code management tools (Git, Sbt, Maven) Pyspark, Scala or other functional programming languages Analytics tools such as more »
in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools like MapReduce or SQL. Experience with network security products and solutions. HTML, CSS and Javascript experience. Python. Ifyou are more »
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a more »
Experience with RDS like MySQL or PostgreSQL or others, and experienced with NoSQL like Redis or MongoDB or others; * Experience with BigData technologies like Hadoop eco-system is a plus. * Excellent writing, proof-reading and editing skills. Able to create documentation that can express cloud architectures using text and more »
looking for you to demonstrate include: Experience of data storage technologies: Delta Lake, Iceberg, Hudi Sound knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Knowledge of Architecture best practices and patterns Competence in evaluating and selecting development more »
programming language, ideally Python but can also be Java or C/c++ SQL expeirence Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Get in touch with Ella Alcott - Ella@engagewithus.com more »
solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data more »
experience Demostrate In-depth knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift) Experience of analytics technologies (Spark, Hadoop, Kafka) Have familiarity with Data Lakehouse architecture, SQL Server, DataOps, and data lineage concepts Demonstrate In-depth knowledge of large-scale data platforms (Databricks more »
Manchester, England, United Kingdom Hybrid / WFH Options
Made Tech
how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a more »
Sittingbourne, Kent, South East, United Kingdom Hybrid / WFH Options
Southern Housing
requirements into system functional and non-functional requirements Experience with popular database programming languages including SQL, PL/SQL, possibly extending to NoSQL/Hadoop oriented, and nonrelational databases. In your supporting statement, it is important that you address how you meet each of the above criteria providing real more »
junior members of the team and influencing them with your vision. Our tech stacks vary between products (such as OracleDB, MongoDB, Elastic Search and Hadoop for data storage and a mixture of commercial-off-the-shelf products and custom applications. We embrace a DevSecOps (Development, Security, and operations) mindset more »
relevant experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands on experience in modelling databases (particularly nosql), working on indexes more »
Experience with ETL processes and tools. =Knowledge of cloud platforms (e.g., GCP, AWS, Azure) and their data services. =Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. =Understanding of AI tools like Gemini and ChatGPT is also a plus. =Excellent problem-solving and communication skills. =Ability to more »
Birmingham, England, United Kingdom Hybrid / WFH Options
⭕️ Nimbus®
such as Python, C#, .Net and/or JavaScript is highly desirable. Experience with cloud platforms (e.g., Azure) and data technologies (e.g., SQL, NoSQL, Hadoop, Spark). PLEASE NOTE: You must have either UK citizenship or permanent leave to remain in the UK. Due to the high volume of more »
following: .NET (VB, C#, ASP.NET, .NET CORE) MVC Framework Python JavaScript (REACT, Bootstrap Frameworks) Database design SQL/SQL Server NoSQL technologies e.g., MongoDB, Hadoop, etc. Your Experience If you’re the right person for the role, you’ll bring experience of working on a range of applications across more »
the space of data and AI technologies and business scenarios. Strong understanding of cutting edge and legacy Big Data and AI technologies such as Hadoop, Spark, OpenAI and Claude as well as architectures and domains such as Computer Vision, NLP, Neural Networks, Machine Learning, Generative AI, Data Warehouse and more »
instrumental in ensuring the security and efficiency of the data handling and reporting processes. Key Responsibilities: Data Processing: Utilize Apache Spark, AWS RDS, and Hadoop to process large datasets efficiently and securely. Reporting: Generate comprehensive and insightful reports using Tableau. Business Rules Management: Implement and manage business rules with more »
Data Lake/Hadoop platform implementation Good level hands-on experience in implementation and performance tuning Hadoop/Spark implementations Experience ApacheHadoop and the Hadoop ecosystem Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro) Experience with one … or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) Experience developing software code in one or more programming languages (Java, Python, etc.) Preferred Qualifications: Masters or PhD in Computer Science, Physics, Engineering or Maths Hands on experience leading large-scale global data warehousing and analytics projects Ability more »
or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience more »
such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to think critically and creatively. Excellent analytical skills more »
ETL processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »
through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various more »
services or hedge fund industry. Technical Skills: Proficiency in Python and SQL. Experience with relational and NoSQL databases. Knowledge of big data frameworks (e.g., Hadoop, Spark, Kafka). Understanding of financial markets and trading systems. Strong analytical, problem-solving, and communication skills. Familiarity with DevOps tools and practices. This more »
