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Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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Years of work experience as a Big Data Engineer. Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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Implement data governance, security, and compliance measures in the Big Data environment. We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives.
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Design repeatable and reusable solution architectures and data ingestion pipelines for bringing in data from ERP source systems like SAP. Manage data integration with tools like Databricks and Snowflake or equivalent data lake and data warehouses.
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A significant part of this role includes creating a measurable data governance strategy, developing practices and standards around data governance with the support of a data steward group, ensuring the division's data architecture is modern, secure, and optimized for data and analytics.
$97,494 - $119,160 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala, etc.) At this stage, this role is pivotal as we are taking this solution to the next level and positioning it as the core product for everything marketing - audience segmentation, statistical testing, data governance, data distribution, revenue optimization, and much more.
$70 - $72 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Working knowledge of unity catalog and data governance principles. Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps.
$83.33 - $93.33 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Experience with data governance tools such as Alation, Collibra, Databricks Unity catalog, Informatica etc. Be a thought leader and evangelist of data governance practices to drive adoption and knowledge at all levels of the organization.
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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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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Experience with Data Governance products, like EDC, Axon, and CDGC. Strong Data Integration and Data Warehousing experience with Snowflake Data Cloud and Informatica IICS Cloud Data Integration tools.
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Develop and maintain data lineage documentation and mappings to support data governance, regulatory, compliance, and data lineage analysis activities Collaborate with data management teams, including data architecture, data engineering, and metadata management to ensure alignment and integration of data stewardship activities in accordance with enterprise data management policies and standards.
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Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services. Mastery of Azure Data Factory (ADF) for integration.
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big data governance integration jobs Title: big data engineer
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