Azure Synapse Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience in the healthcare sector is more »
management. Cloud Platform : AWS for cloud infrastructure. Programming Languages : JavaScript for front-end development and Java for back-end processes. Big Data Technologies : Hadoop, Spark, or Kafka for handling large-scale data processing. What We Need from You Essential Skills: Technical Proficiency : Expertise in React.js, front-end technologies (JavaScript more »
complex data warehouses and/or data lakes. Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, Google Cloud Platform (Big Query), Spark, and Splunk. Proficiency in SQL and experience using one or more of the following languages: R, Python, Scala, and Julia, including relevant frameworks/ 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, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are more »
Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly ApacheSpark & 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, ApacheSpark, 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, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are more »
with Git for version control and project management, alongside some knowledge of Linux/Shell. data platform familiarity - previous experience of working with both ApacheSpark and MapReduce data processing and analytics frameworks. and reporting expertise - experience with Tableau, Power BI, Excel alongside notebooks for experiment documentation. What more »
APIs Messaging systems Python Java Databases and SQL Data warehousing Data modeling Data governance Cloud platforms and services (e.g., AWS) Big data technologies (e.g., Spark, Kafka) Continuous Data Integrity/Testing platforms If you are looking for a new path where you get to work on some amazing projects more »
Platforms Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ more »
Engineer, with expertise developing scalable data pipelines. Strong object oriented programming skills, particularly in Python . Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding more »
Engineering 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 more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
Bachelor's degree in Computer Science or a related field (Master's degree preferred) Nice to have: experience with LLMs, Vector Databases, AWS EMR, Spark, and Python Our commitment: Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our 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 »
Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow more »
an Azure Solution Architect in Microsoft Data and AI. Extensive, hands-on, current experience in Azure data and AI technologies, like Fabric, Synapse, Databricks, Spark, Python, GitHub, Data Factory, Azure Data Lake, Power BI, Cognitive Services, Purview, etc. Strong data analysis and modeling skills. High-level understanding of Azure more »
model training, evaluation, and productionization. - Strong programming skills in Python, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model deployment. - Solid understanding of data privacy 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 »
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 »
DevOps/Agile Experience of managing environments using IAC (Terraform API's) Experience of designing robust, secured and compliant platform Capabilities. Strong understanding of ApacheSpark including its architecture, components & how to create, monitor, optimize & scale spark jobs. more »
Especially MS Azure is recommended as Microsoft Fabric is integrated within Azure services. Experience of designing robust , secure and compliant capabilities. Strong understanding of ApacheSpark, Including its Architecture , Components, and how to create, Monitor, Optimize, and Scale Spark Jobs. Experienced working in a DevOps/Agile more »
Microsoft Azure, is recommended as Microsoft Fabric is integrated with Azure services Experience of designing robust, secure and compliant platform capabilities Strong understanding of ApacheSpark, including its architecture, components, and how to create, monitor, optimize, and scale Spark jobs. Experience of working in an DevOps/ more »
ETL/ELT tools.Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune).Experience with distributed storage, processing engines such as Apache Hadoop and Apache Spark.Experience with message brokering/stream processing services such as Apache Kafka, Confluent, Azure Stream Analytics.Experience in Test Driven more »
objectives. So each team leverages the technology that fits their needs best. You’ll see us working with data processing/streaming frameworks like Apache Flink and Spark; Database technologies like MySQL, PostgreSQL, DynamoDB and Redis; and breaking things using in-house chaos principles and tools such as … latency, near real-time products: Java and Scala based Web Services, Databricks Data Lakes (Delta Lakes), AWS Kinesis and MSK, AWS ElasticSearch, AWS RDS, Apache Flink & Spark, scripting using Python, Terraform’s infrastructure as a code. The interview process Our interview aims to take a relaxed & practical approach more »
