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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Part-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 6 years of experience in software engineering (Internship experience does not apply) Lead a portfolio of diverse technology projects and a team of developers with deep experience in full stack systems to create automation tools to support the Card Architecture team aligned with leading standards and practices including tooling solutions for Content Management, SDLC, DevOps, reporting, etc.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.
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Candidates must be college graduates with broad technical knowledge encompassing as many of the following as possible: Python, C#, Java, Scala, Go, SQL, Pandas, Elasticsearch, Kibana, Snowflake, Docker, Kubernetes, Airflow, Argo, Spark and Hive. Some experience with visualization tools and Apache Kafka would be a plus as would some exposure to financial markets.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. 4+ years of experience with AWS, GCP, Azure, or another cloud service. Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Full Stack (Java/AWS.
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Experience in Snowflake or AKS (Azure Kubernetes Service) for Spark is a plus. x, Apache Spark 3. x, Apache Airflow, Hive, Impala, SQOOP, Informatica, Python, Java.
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Experience working with: Airflow, Kubernetes, Cloud infrastructure (e.g., Azure, GCP), CI/CD (e.g., Azure DevOps, Git actions, Jenkins, or CircleCI) Experience in automation and testing of data workflows, preferably Apache Airflow.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and ci/cd pipelines.
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Active contributions to open-source projects such as Apache Spark, Kafka, Kubernetes, etc is a plus. + 5+ years of work experience with large scale technologies such as Single Store, Spark, Microservices, Kafka, etc.
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Experience implementing automated workflow, such as using dbt for BigQuery transformations, orchestrated by Apache Airflow and/or Kubernetes, with industry standard CI/CD tools. Hands-on experience with modern big-data technologies such as Apache Spark or Presto.
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Experience with databases' CDC (Change Data Capture), message queues such as Kafka, and stream processing with Apache Flink and Apache Spark. + Proficiency in cloud services, especially Azure Cloud, including Azure App Services, Azure Kubernetes Service, API Management, Application Gateway, Azure Active Directory, Azure Cache for Redis, Azure Key Vault, Application Insights, Azure Event Hub, Azure Container Registry, and Azure DevOps, among others.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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4+ years using modern platforms & technologies, such as big data, data warehouses, data lakes, and data lakehouses; proficiency with Elixir; proficiency with Snowflake; familiarity with Databricks. Anglepoint’s software engineering department based in Lindon, UT seeks a dynamic, highly skilled & experienced Principal Data Architect to revolutionize our data landscape within a new enterprise-scale, cloud-native, microservices-driven platform, providing data processing, abstraction, and reporting that empower our service delivery and internal business units to achieve next-level productivity and client value.
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Experience with Hasura, REDIS , Apache Spark , Azure Databricks. This position provides the technical expertise for the complex and intricate Azure DevOps and Containerization Tool Stack including but not limited to specializing in the support and administration of the OpenShift Container Platform (OCP) Projects and support for integrations with IIS, Apache Tomcat, JBoss, SQL Server, Windows, Linux, Oracle etc.
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