51 to 75 of 952 Apache Jobs

developing and implementing enterprise data models. Experience with Interface/API data modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: We’re a business with a global reach that More ❯

or MS degree in Computer Science or equivalent Experience in developing Finance or HR related applications Working experience with Tableau Working experience with Terraform Experience in creating workflows for Apache Airflow and Jenkins Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive More ❯

or MS degree in Computer Science or equivalent Experience in developing Finance or HR related applications Working experience with Tableau Working experience with Terraform Experience in creating workflows for Apache Airflow and Jenkins #LI-AB3 Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. More ❯

management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one More ❯

data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data More ❯

Are Some Things We’ve Worked On Recently That Might Give You a Better Sense Of What You’ll Be Doing Day To Day Improving systems integration performance, using Apache Ni-Fi, by balancing scaling and flow improvements through chunking Implementing AWS Security Control Policies to manage global access privileges. Validating and Converting data into a common data format More ❯

of learning the rest as needed: • Distributed or large-scale systems • MySQL/SQL database design, query optimisation and admin • Web development in HTML, CSS, JavaScript, Vue/React • Apache web server software and related modules • Cloud platforms and concepts (AWS, Google Cloud, Azure) • Setup, testing and administration of CI/CD pipelines • Networking and firewalling • Natural language processing … of learning the rest as needed: • Distributed or large-scale systems • MySQL/SQL database design, query optimisation and admin • Web development in HTML, CSS, JavaScript, Vue/React • Apache web server software and related modules • Cloud platforms and concepts (AWS, Google Cloud, Azure) • Setup, testing and administration of CI/CD pipelines • Networking and firewalling • Natural language processing More ❯

indexing, partitioning. ·Hands-on IaC development experience with Terraform or CloudFormation. ·Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. ·Significant experience with Apache Spark or any other distributed data programming frameworks (, Hadoop, Beam) ·Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. ·Experience with data quality and/ More ❯

indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality More ❯

stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge The full stack engineers for Commercial Technology will be proficient in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities. Must have development experiences in Azure Integration Services (Logic Apps, Azure Functions, Azure Event Hub, Azure Redis More ❯

stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge The full stack engineers for Commercial Technology will be proficient in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities. Must have development experiences in Azure Integration Services (Logic Apps, Azure Functions, Azure Event Hub, Azure Redis More ❯

stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge The full stack engineers for Commercial Technology will be proficient in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities. Must have development experiences in Azure Integration Services (Logic Apps, Azure Functions, Azure Event Hub, Azure Redis More ❯

stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge The full stack engineers for Commercial Technology will be proficient in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities. Must have development experiences in Azure Integration Services (Logic Apps, Azure Functions, Azure Event Hub, Azure Redis More ❯

stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge The full stack engineers for Commercial Technology will be proficient in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities. Must have development experiences in Azure Integration Services (Logic Apps, Azure Functions, Azure Event Hub, Azure Redis More ❯

production issues. Optimize applications for performance and responsiveness. Stay Up to Date with Technology: Keep yourself and the team updated on the latest Python technologies, frameworks, and tools like Apache Spark , Databricks , Apache Pulsar , Apache Airflow , Temporal , and Apache Flink , sharing knowledge and suggesting improvements. Documentation: Contribute to clear and concise documentation for software, processes, and … cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing … large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or other stream processing frameworks is a plus. Desired Skills: Asynchronous Programming: Familiarity with asynchronous programming tools like Celery or asyncio . Frontend Knowledge More ❯

modern technology stacks to build and optimize a powerful data platform and search engine. With an opportunity to explore vector search, machine learning, and large-scale data processing using Apache Lucene, Solr, or Elasticsearch. What you’ll be doing: Design, build, and optimize a high-performance data platform and search solution. Develop robust search capabilities using Apache Lucene … and search technologies. Role Profile You have strong experience in Java development and exposure to Python. Have experience with large-scale data processing and search technologies. An expert in Apache Lucene, Solr, Elasticsearch, if not you have the appetite to learn more. Hands on experience with SQL and NoSQL databases under your belt. Hold a degree in Computer Science More ❯

systems, with a focus on data quality and reliability. Design and manage data storage solutions, including databases, warehouses, and lakes. Leverage cloud-native services and distributed processing tools (e.g., Apache Flink, AWS Batch) to support large-scale data workloads. Operations & Tooling Monitor, troubleshoot, and optimize data pipelines to ensure performance and cost efficiency. Implement data governance, access controls, and … ELT pipelines and data architectures. Hands-on expertise with cloud platforms (e.g., AWS) and cloud-native data services. Comfortable with big data tools and distributed processing frameworks such as Apache Flink or AWS Batch. Strong understanding of data governance, security, and best practices for data quality. Effective communicator with the ability to work across technical and non-technical teams. … Additional Strengths Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent company culture founded on Integrity, Innovation and More ❯

In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a … data processing workloads Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning More ❯

to-end, scalable data and AI solutions using the Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow). Design and lead the development of modular, high-performance data pipelines using Apache Spark and PySpark. Champion the adoption of Lakehouse architecture (bronze/silver/gold layers) to ensure scalable, governed data platforms. Collaborate with stakeholders, analysts, and data scientists to … performance tuning, cost optimisation, and monitoring across data workloads. Mentor engineering teams and support architectural decisions as a recognised Databricks expert. Essential Skills & Experience: Demonstrable expertise with Databricks and Apache Spark in production environments. Proficiency in PySpark, SQL, and working within one or more cloud platforms (Azure, AWS, or GCP). In-depth understanding of Lakehouse concepts, medallion architecture More ❯

Role, You'll: • Design, build, and maintain secure, scalable data pipelines and services • Ingest, transform, and model structured and unstructured data for analytics and ML • Work with technologies like Apache Spark, Apache Iceberg, Trino, NiFi, OpenSearch, and AWS EMR • Ensure data integrity, lineage, and security across the entire lifecycle • Collaborate with DevOps to deploy containerized data solutions using More ❯

cutting-edge technologies. About the Role You’ll be part of an agile, cross-functional team building a powerful data platform and intelligent search engine. Working with technologies like Apache Lucene, Solr, and Elasticsearch, you'll contribute to the design and development of scalable systems, with opportunities to explore machine learning, AI-driven categorisation models, and vector search. What … You’ll Be Doing Design and build high-performance data pipelines and search capabilities. Develop solutions using Apache Lucene, Solr, or Elasticsearch. Implement scalable, test-driven code in Java and Python. Work collaboratively with Business Analysts, Data Engineers, and UI Developers. Contribute across the stack – from React/TypeScript front end to Java-based backend services. Leverage cloud infrastructure … powered product categorisation. Continuous improvements to how data is processed, stored, and presented. Your Profile Strong experience in Java development, with some exposure to Python. Hands-on knowledge of Apache Lucene, Solr, or Elasticsearch (or willingness to learn). Experience in large-scale data processing and building search functionality. Skilled with SQL and NoSQL databases. Comfortable working in Agile More ❯

In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a … data processing workloads Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning More ❯

engineers + external partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction on software stack, best practices, and … especially AWS), and orchestration technologies Proven delivery of big data solutions-not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring teams Worked in a startup More ❯

real-time data pipelines for processing large-scale data. Experience with ETL processes for data ingestion and processing. Proficiency in Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference More ❯

ad hoc to scalable, production-grade systems - Collaborate closely with senior stakeholders and shape the future of the data platform - Python | SQL | Snowflake | AWS (S3, Docker, Terraform) | Airflow | DBT | Apache Spark & Iceberg | PostgresDB The ideal candidate: - 5+ years as a senior/principal data engineer - Experience leading or mentoring engineers - Strong technical grounding - Start-up/scale-up mindset More ❯