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Incorporate core data management competencies including data governance, data security and data quality. 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.
$121,000 - $199,600 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Collaborate across functions for data governance and analytics initiatives. Actively pursuing ACAS/FCAS designation; ACAS or FCAS preferred. JCW is currently recruiting on behalf of a rapidly growing Property & Casualty Insurance Company who are looking to add an associate actuary.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You will leverage your ability to design, build and deploy data solutions using cloud based compute and warehouse tools that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape and generative AI capabilities. Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise.
$138,100 - $227,800 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Similar Jobs (3) 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 7 Days Ago Data Engineer I remote type Hybrid locations CT - Hartford time type Full time posted on Posted 30+ Days Ago.
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Drive and accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity.
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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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Oversee data governance, including defining, managing, communicating, and enforcing data definition and management. The Head of Investment Technology and Data Management is a strategic leader within our Client, dedicated to identifying both internal and external client requirements and devising and implementing effective solutions for all key IT and Market Data needs.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Key Responsibilities:Design, architect, and engineer big data solutionsDevelop a modern data analytics lake housePropose and standardize ELT, BI, AI, governance, and analyticsPublish enterprise ingress, development, transform, egress, consumption guidelinesInstrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
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Align master data management and data governance standards, processes, and rollout with the Global ERP rollout. Help develop, maintain and support the master data management and data governance strategy working with data leadership team.
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Strong understanding and experience in the area of data modeling, data management, data ingestion, data quality management, data governance. Experience in Big Data ingestion, transformation and stream/batch processing technologies using Apache Nifi, Apache Kafka, Kinesis, Sqoop, Spark, Spark streaming, Storm etc.
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We focus on using the latest technology to reduce the level of manual testing ensuring you’ll focus on the most valuable areas of client service and on enhancing corporate governance and the reliability of our clients’ information.
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Incorporate core data management competencies including data lineage, data governance, data security and data quality. Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns – but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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Experience with data governance tools (e.g., data catalogs, active metadata management platforms, master data management, and data lineage) Establish a human-centric, modern data governance practice with a portfolio of enabling capabilities that include data catalog and marketplace, metadata management, data lineage, data glossaries, mapping, and data quality rules & standardization.
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Align with Other Data Management Disciplines: Engage with the Data Governance, Data Stewardship, Data Privacy, Master / Reference Data Management, Data Architecture, BI and Data Warehousing, Data Science, and other teams to ensure data quality and metadata management activity aligns with the other capability needs including the Global Data Governance Accountability Framework.
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data governance jobs in Hartford, CT
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