1 to 25 of 163 Remote Apache Spark Jobs

detect threats, analyze patterns, and respond to incidents in real-time.You'll be designing and developing highly scalable streaming services using technologies like Apache Kafka, Apache Flink, Apache Storm and Apache Spark in Java, Python and Go. You'll design and implement data pipelines that … Design, develop, and maintain streaming microservices in Java and Go that provide real-time data processing capabilities to internal teamsBuild and optimize Apache Flink and Apache Spark based data pipelines running on Kubernetes infrastructureDesign event-driven systems leveraging Kafka for high-throughput, low-latency message streamingTake ...

develop, and maintain end-to-end data pipelines using Ab Initio (GDE, PDL, Conduct>IT, Express>IT).Build scalable batch and streaming workloads using Apache Spark (PySpark/Scala).Develop and orchestrate data ingestion flows using Apache NiFi for real-time and near-real-time use cases.Optimize …/ELT jobs for scalability, throughput, and resource efficiency.Perform bottleneck analysis and tuning for Spark jobs, NiFi processors, and Ab Initio graphs.Demos and knowledge transfers to stakeholders around product developments.Spread your experience and knowledge to junior engineers.Improve automated testing and deployments using CI/CD pipelines.Expectation to line manage ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design … build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale ...

should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure … develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What … lake & Fabric. Understand which Azure data focused components to use for which purpose.Microsoft certified architectDatabricksDesign and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Ability to Design, Build and deploy AI/ ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What … which Azure data focused components to use for which purpose. Microsoft certified architect Databricks Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Ability to Design, Build and deploy ...

Basic understanding of Python and SQL Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Knowledge of ETL tools, Apache Spark, Apache Airflow, or Kafka Understanding of relational and NoSQL databases Interest in big data, cloud computing, data warehousing, or machine learning ...

Basic understanding of Python and SQL Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Knowledge of ETL tools, Apache Spark, Apache Airflow, or Kafka Understanding of relational and NoSQL databases Interest in big data, cloud computing, data warehousing, or machine learning ...

Basic understanding of Python and SQL Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Knowledge of ETL tools, Apache Spark, Apache Airflow, or Kafka Understanding of relational and NoSQL databases Interest in big data, cloud computing, data warehousing, or machine learning ...

Basic understanding of Python and SQL Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Knowledge of ETL tools, Apache Spark, Apache Airflow, or Kafka Understanding of relational and NoSQL databases Interest in big data, cloud computing, data warehousing, or machine learning ...

Basic understanding of Python and SQL Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Knowledge of ETL tools, Apache Spark, Apache Airflow, or Kafka Understanding of relational and NoSQL databases Interest in big data, cloud computing, data warehousing, or machine learning ...

frameworks, tools and applications that make that data available to other teams and systems. Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.**What You'll Do:*** Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related analytics* Design, develop, and maintain ultra-high-scale data platforms that process petabytes of data* Participate in technical reviews of our products and help ...

frameworks, tools and applications that make that data available to other teams and systems.Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.What You'll Do: Write highly fault-tolerant Java code within Apache Spark … combined between backend/cloud development and data platform engineering roles5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP5+ years of experience programming with Java, Scala or Kotlin.Proven experience utilizing AI technologies ...

Experience using Git/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package ...

Testing Guild with common standards such as metrics and use of test tools Here's a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT We'd love to hear from ...

search, LLM orchestration (e.g. LangGraph, LlamaIndex, Semantic Kernel), or LLM evaluation/observability (e.g. LangSmith, Ragas). Streaming and event-driven experience (e.g. Kafka, Spark Structured Streaming). Relevant cloud and/or data engineering certifications. Specialist tracks (we'd love depth in one of these … need all of them): Azure/Databricks Azure Data Lake Storage, Databricks, Apache Spark, Delta Lake, Azure Data Factory, MLflow; and, for the AI edge, Databricks Mosaic AI, Vector Search and Unity Catalog, or Azure OpenAI, Azure AI Foundry and Azure AI Search. AWS: Glue, Lambda, Step Functions ...

automated testing and version control. Data engineering stack. Building pipelines with streaming frameworks, distributed processing engines and relational or analytical storage (for example Kafka, Spark, PostgreSQL). Orchestration. Defining and running data workflows with modern orchestration frameworks (for example Airflow, Dagster or Prefect). Data quality and lineage. Tools … tracks (we'd love depth in one of these; you don't need all of them): Azure/Databricks Azure Data Lake Storage, Databricks, Apache Spark, Delta Lake, Azure Data Factory, MLflow; and, for the AI edge, Databricks Mosaic AI, Vector Search and Unity Catalog, or Azure OpenAI ...

strategic planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda ...

platformsAdvanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDDExperience with big data frameworks such as Apache Spark or similar technologiesSolid understanding of data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure ...

lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases ...

with structured streaming, Delta Lake and Delta Live TablesProven experience in Lakehouse migration and modernization using open table formats such as Delta Lake or Apache IcebergProficiency with cloud-native services on Azure and knowledge of multi-cloud environments (AWS or GCP)Hands-on experience with CI/… governance, security practices and enterprise integration controlsBackground in financial trading data or related domainsOfficial Databricks certifications such as Certified Data Engineer Professional or Apache Spark DeveloperOUR BRANDS ...

quality, security and reliability built in from the start. What you’ll be doing Data engineering Design and build scalable data pipelines (for example Apache Spark, Airflow, dbt) and maintain data lakes, warehouses and real-time streaming solutions. Ensure data quality, governance and compliance across platforms. Full-stack ...

able to guide 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 ...

e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL, data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards ...