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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Familiarity with recommending data governance best practices including MDM, security, privacy and policies. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models.
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Strong experience in data governance and data management and using tools such as Alation, Collibra, Informatica, and IBM IGC. 10+ years of experience in data modeling and data architecture including at least 5 years in a leadership or management role with strong understanding of data architecture and data governance principles and practices.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Implement data governance processes for item master data maintenance. Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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Roll out an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools, and data architecture.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with Data Science integration and application (Python, R) Strong proficiency in Tableau Desktop and data visualization best practices. Experience with programming languages (Python, APIs, Web Data Connectors, Tableau Extensions, JavaScript.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Exposure to Enterprise Data Governance (Archiving, Backup, Recovery, Migration, etc). A Salesforce Data Architect or other relevant certification from Middleware provider (MuleSoft, Informatica, etc.
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Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Alteryx, Oracle, SQL Server, Teradata, DB2, Netezza, Hadoop, SAP eLedger, Rally, Visio, ETL tools and Data Management tools. Data Analyst (Alteryx/Teradata/ETL) - Banking - W2 Only.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Implement best practices for data management, security, and governance within the Databricks environment. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
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Knowledge of Snowflake, AWS, Kafka, Airflow, Data Dog or similar big data technologies. Leading Data Operations Team: Oversee the data operations team responsible for resolving incidents and issues in data ingestion feeds, master data management, reference data management, Cloud Data Warehouse and data products.
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As a Data Scientist Intern at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development.
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Title: data governance Company: Genesis10 in Charlotte, Iselin, New Jersey
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