9 of 9 Apache Spark Jobs in the East Midlands

automation to ensure successful project delivery, adhering to client timelines and quality standards. Implement and manage real-time and batch data processing frameworks (e.g., Apache Kafka, Apache Spark, Google Cloud Dataproc) in line with project needs. Build and maintain robust monitoring, logging, and alerting systems for client … languages like Python, Bash, or Go to automate tasks and build necessary tools. Expertise in designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and batch data processing frameworks, including Apache Kafka, Apache Spark, or Google Cloud Dataflow. ...

comprehensive data analysis and reporting. Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, Unity Catalog, and Apache Atlas to maintain data integrity and trust. Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining … ease. Understanding of Data Lakehouse Architecture: You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using ...

working on complex data pipelines at scale, you'll thrive here. Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) Big Data Technologies (Apache.... Spark, Flink, HDFS, Airflow, Trino, Iceberg, Hive) Dependency injection frameworks (Spring) Observability (Loki/Grafana) Large scale data processing (Kafka) CI/CD Build tools ...

/or machine learning) Deep technical understanding of data engineering and AI/ML tooling, workflows, and trends in enterprise setting Proficiency in Python, Spark, and/or SQL with experience developing ETL applications Excellent communication and presentation skills, with comfort in objection handling Hands-on experience with ...

/or machine learning) Deep technical understanding of data engineering and AI/ML tooling, workflows, and trends in enterprise setting Proficiency in Python, Spark, and/or SQL with experience developing ETL applications Excellent communication and presentation skills, with comfort in objection handling Hands-on experience with ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless) Running discovery experiments and validating concepts at speed ...

PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless) Running discovery experiments and validating concepts at speed ...