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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Minimum of 4 year’s of experience in Databricks engineering solutions on one of the Cloud platforms (Azure, AWS or GCP.
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Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Experience in data governance fields as lineage, quality, catalog etc. Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc. Minimum of 4 year’s of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP.
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Certifications: Lakehouse Fundamentals, Developer Foundations Capstone, Developer Essentials Capstone, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, auto-scaling is a plus.
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Experience with cloud technology stack (AWS, Kubernetes, Spring Boot, Kafka, SSO, Cassandra) This developer will work with our talented software engineers to design, build and evolve our browser-based solutions.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake) Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink.
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Learn model-driven operations with Juju charms for Kafka, Hadoop, PostgreSQL, MongoDB, NGINX, and more. The role of a Telco Field Engineer at Canonical. As part of the Canonical Field Engineering organization, you will lead customers through the design and delivery of OpenStack, Kubernetes, and software-defined networking solutions.
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This transformation is driven by open source software, cloud computing and the move to VNF / CNF approaches. The telco industry is moving to software-defined services. Investigate, report and/or fix software defects uncovered during customer deployments.
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Experience with Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search. Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Python software development experience (mandatory - intermediate level) Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco (automation scripting, terraform, etc.) Fully remote working environment - we've been working remotely since 2004.
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Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, etc. Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.
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6+ years of software development experience with Python, PySpark, Apache Spark and Kafka. CGI is seeking a Cloud Data Engineer who can bring in expertise and industry standard methodologies define better development.
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Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ, Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper.
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hadoop kafka jobs Title: software engineer Company: Panalgo
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