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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 in logical & physical table design in Big Data environment to suite processing frameworks · Knowledge of using, setting up and tuning resource management frameworks such as Yarn, Mesos or standalone spark.
$70 - $75 an hourExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Looking for Informatica ADMIN with strong experience in BDM (Big Data Management) / (MDM) Master data management Admin. Install, Administer, Upgrade and Manage Informatica MDM platform - master data management (previously known as Siperian) including application servers for cluster and high availability needs.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) Coordinate with other Front Line Units and Control Functions (FLU/CFs) Data Strategy and Management teams to streamline the Data Sourcing Strategy for Risk Organization.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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DUTIES: AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the big data environment.
$130,270 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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The Development Coordinator will support BBBSLA's overall financial growth through data management and record-keeping, gift processing, the maintenance of fundraising technologies, the implementation of email and direct mail campaigns, and general administrative support for the Fund Development Department.
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Experience designing and developing big data processing solutions (Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, or other related tools) Additional and proven experience as a Test Engineer and/or Data Engineer (preferred focus on GCP environments & emphasis on GCP services related to big data like BigQuery, Dataproc, Dataflow, and Pub/Sub.
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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 management jobs Title: developer Company: Adidas
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