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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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2-3 years of experience in defining enterprise data strategy in the areas such as AI, data management, data governance, data supply chain, data security, data archival, data quality, master data management, data architecture, automation and/or cloud data migration for medium to large scale corporations.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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4+ years of experience in machine learning, data science, or data analytics experience. You have experience managing multiple high-visibility and high-impact enterprise cybersecurity initiatives with cross-functional teams while maintaining superior results through risk analytics, data governance, and insight generation.
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As a candidate for this role, you’re able to seamlessly switch from executive-level risk conversations to diving deep into controls and technology to driving high level, strategic discussions around metrics, data, and risk analytic reporting solutions.
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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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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
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Experience using or implementing data governance technologies, i.e., metadata management, data quality, master data management, data privacy, etc., including Informatica data governance tools (EDC, Axon, Informatica DQ, Informatica MDM), Collibra, Alation, Ataccama, or similar data governance vendor solutions.
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The VP, Data and Analytics has primary responsibility to lead the data strategy, execution and maintenance of our data platforms (structured and unstructured), reporting and analytics capabilities, data science and automation capabilities as well as partnering on the broader data governance mandates.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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Work closely with the Analytics Engineering, Business Intelligence, and Data Science teams to support our modern data stack infrastructure (Fivetran, dbt, Snowflake, Thoughtspot, Airflow, AWS, Atlan.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Help implement data governance policies wherever the data is accessed (Databricks, Snowflake, Spotfire). Experience with a data catalog and data governance tool such as Alation.
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Comfortable in SQL and modern data warehouses (BigQuery/Snowflake/Redshift). You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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modern data governance learning jobs Company: Wex
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