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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
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2+ years of experience with Google Cloud Platform Cloud data implementation projects (Apache Beam, Spring Boot, Dataflow, Airflow, Big Query, Cloud Storage, Cloud Build, Cloud Run, etc. If you have advanced knowledge of the Google Cloud Platform ecosystem, particularly in Java Spring boot (Cloud Run) and Big Query, and possess expertise in data design, architecture, modeling, and building Big Data pipelines, we want you on our team.
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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applications. Experience with Customer support service delivery for Integration Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks technology environments.
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Job Title: Sr. Big Data Developer. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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big data jobs Company: Change Healthcare
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