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Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Good Understanding of various database technologies (DB2, Teradata, Oracle 10g/11g, SQL server, Big data/Hadoop, PostgreSQL) Create, design, and execute the test plans and test cases which covers ETL Process and Data Warehouse validation.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Experience with data platform and visualization technologies such as Google plx dashboards, Data Studio, GoogleSQL, and BigQuery.
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Solid experience in Java, SQL, kubernetes and big data tech stack (Hadoop, Spark). With real-time cases grows rapidly, we are building next generation SQL based data processing platform to fasten the speed of real-time data process and transformation, enabling fully intelligent and automatic scale up/down capabilities, evolving for all Kafka/Flink operations and troubleshooting to self-service and self-adjustment, ensure fault tolerance for unexpected scenarios, and provide solutions for Kafka/Flink exceptional performance.
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Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering. As Data Engineer, you will be responsible for overseeing all aspects of our Azure data processing pipelines, including development, implementation, and testing.
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Seeking an experienced Data Engineer with a proven record of developing advanced data models and SQL Queries on complex, disparate systems, preferably in a Big Data warehouse environment like Snowflake.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka) Architect, build, and maintain scalable multi-tiered systems to handle complex data workflows and integration pipelines.
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Looking for Big Data Engineer profiles who is strong and having good hands-on experience in Spark/PySpark, Scala/Python and SQL. Title: Big Data Engineer (PySpark, SQL and Scala/Python.
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Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and. data sources using SQL and AWS ‘big data’ technologies.
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We're looking for a Big Data Engineer with strong understanding of big data and ML platforms, passionate about building and managing cloud infrastructure and can demonstrate to Apple's high standards.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.
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As a Senior Data Engineer, you will help design, enhance and build solutions dealing with real-time data in a fast-paced environment working with/on cutting-edge data and cloud technologies.
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Looking for an operations focused Contract Dev Ops Engineer to deliver and maintain our Big Data Analytics and Benchmarking Automation systems. Our team has developed custom information systems using open-source technology commonly associated with streaming big data and microservices architectures.
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Strong exposure to packaging software (deb/rpm) and related technologies like CMake Strong experience in building and using containers using Docker/ Podman Ability to setup systems to monitor, capture and present data in the form of dashboards and reports with systems like Promotheus/ Grafana/ OpenSearch Strong experience in Ansible Experience with software engineering methodologies such as Agile, Scrum, Kanban.
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big data jobs Title: engineer Company: Inc in Austin, TX
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