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Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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Incorporate core data management competencies including data governance, data security and data quality. Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)AWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.
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Knowledge of data concepts (Data Warehouse, Data Lake, Data Model, DB Design, Data Mapping)Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)Database (SQL Server, Teradata, or similar)Knowledge of:AWS (s3, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.
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Mandatory Skills: Data ingestion (structured, semi-structured & unstructured data sets in batch & real-time ),ADF, Databricks, ETL ,Datawarehouse, Developing pipelines, Data Modeling, Strong SQL Skills,Good to have: Python, Kafka( Realtime), Working Knowledge of Middleware,Responsibilities: Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to.
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In addition, you will review and analyze IT governance processes, as well as develop and perform continuous auditing techniques leveraging data analytics to provide ongoing insights on the health of the control environment for the Audit Committee of the Board of Directors and Senior Management.
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Similar Jobs (3) Data Engineer I (AWS, Databricks, Python) remote type Hybrid locations 3 Locations time type Full time posted on Posted 14 Days Ago Data Engineer I - ETL/AWS remote type Hybrid locations 3 Locations time type Full time posted on Posted 30+ Days Ago Data Engineer - ETL, Databricks, PySpark, SQL remote type Hybrid locations CT - Hartford time type Full time posted on Posted 19 Days Ago.
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Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Experience with master data management and data governance. Must have two years' programming experience in at least two of the following: R, Python, SQL.
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Drive connections with various data platforms, including AWS, Azure, Databricks, Teradata, Snowflake, Kafka, DB2, and SQL Server. This is an exciting opportunity to work with cutting-edge data governance products, collaborating with business and engineering partners to shape functionality and content development.
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Data Governance Architect Notice: 30 Days10+ years of overall experience in data governance and data quality management with Architecture. Experience in defining data governance strategy for organizationResponsible for designing, establishing, and implementing data governance framework and key data governance artifacts (Policies, standards, documentation, definitions, processes and templates etc.
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Collaborate with key stakeholders including Application owners, Analytics, Legal, Compliance, Data Governance, and IT areas to identify scope and understand key requirements. Perform complex application implementations using latest techniques and technologies such as AWS, Hadoop, Apache Spark, Python, SQL, etc.
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Familiarity or proficiency with analytic tools and techniques, e.g., advanced Excel, SQL, Tableau, Python, is a plus. Effectively interface with 1st and 2nd lines of defense, including various levels of management, and have a working knowledge of effective governance processes for critical IT areas.
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Works closely with other data experts within HSB to ensure data quantity, data timeliness, data governance and data quality for all client feeds are met. Client Data Steward.
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Strong SQL data profiling skills. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Expert knowledge of programming languages (i.e. SAS/SQL/ R, Visual Basic, Python) BRIM is responsible for the development and implementation of U.S. business resilience and incident management strategies, governance policies, standards and practices, operating framework, reporting, notification and escalation of material and significant events.
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Maintain an awareness of the future of the data governance practice and pull in industry best practices into the Voya Data Enablement and Governance. TDM engineer will collaborate closely with Data Enablement and Data Governance Analysts, Application owners, Application developers and generates quality test data adhering to industry best practices and complying with business needs.
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