9 of 9 Remote/Hybrid Contract Apache Spark Jobs

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

downstream data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with PySpark and Spark SQL Transform and model structured and semi-structured datasets Improve performance, reliability, and cost efficiency of data workloads Ensure compliance with data governance, security … practice routes Required Skills & Experience Active SC Clearance - mandatory and non-negotiable Strong hands-on experience with Databricks in production environments Expert knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure ...

Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation … Production ML Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing ...

Define and enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data ...

with EKS) Proficiency in Git-based development workflows Experience working independently and communicating effectively in distributed teams Desirable : Familiarity with (or happy to learn): Apache Spark (EMR) and Delta Lake PostgreSQL (Aurora) CI/CD (Github Actions) and IaC (Helm, CloudFormation) Monitoring (Sentry) Knowledge/interest in research … improve the TypeScript/React-based frontend application. Build and manage containerised services deployed on AWS, utilising Kubernetes orchestration. Support data and transformation workflows (Spark) Diagnose, troubleshoot, and improve overall application performance. Handle and resolve live production issues efficiently and under time pressure. Collaborate closely with product and data ...

/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark, and Splunk in large-scale environments Write maintainable Python code, applying object-oriented and functional programming principles Implement and maintain CI/CD pipelines … sustainability, and recoverability Essential Skills & Experience Proven experience as a Lead or Senior Data Engineer in enterprise-scale environments Hands-on expertise with Hadoop, Spark, and Splunk Advanced Python development skills Experience designing and optimising high-performance data pipelines Strong understanding of CI/CD, source control, and automated ...

production-ready PySpark code. Strong understanding of data and data warehousing concepts, including: ETL/ELT, Data models, Dimensions and facts, Data marts, SCDs Spark Performance & Optimisation Strong knowledge of Spark execution concepts, including partitioning, optimisation, and performance tuning. Experience troubleshooting and improving distributed data processing pipelines. Python ...

with Azure Cosmos DB including query optimisation and throughput management Thorough understanding of Cosmos DB Change Data Feed (CDF) and integration and debugging of Spark with Cosmos CDF. High technical proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Thorough understanding of Spark distributed computing concepts. High … technical proficiency in PySpark and Spark Concepts. Experience with concurrency patterns, CLR, and scalable application design. Deep understanding of Azure services including Azure Functions, App Services, AKS, and Logic Apps. Experience with SQL API and familiarity with other APIs. Strong understanding of partitioning, indexing, and consistency levels. Experience with ...

experience with Cloudera Data Platform (CDP) on AWS or recent Hadoop administration on similar platforms. AWS administration and platform management experience. Strong experience in Spark, Airflow, Apache Ranger, Impala (AWS CDK is a plus). Agile experience with Scrum, and tools including Jira, Slack. Familiarity with PowerBI ...