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Experience with data warehouse solutions like Redshift, Snowflake, or BigQuery, and data orchestration tools such as Apache Airflow. Familiarity with distributed data processing frameworks such as Apache Spark or Hadoop.
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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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Experience with big data technologies, data analysis, business intelligence tools and machine learning is a plus. Data Governance: Oversee data modeling, master data management, data governance policies and procedures to ensure data integrity, quality, and security, planning for data backup, disaster recovery, and business continuity.
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14+ years' experience with designing, building, implementing, and supporting data warehouse, business intelligence, and data analytic platforms or solutions. Expertise in Big Data Platform Architecture and Enterprise data capabilities.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Understanding Data Protection capabilities (Database Activity Monitoring (IBM, Imperva), Data Access Governance (SailPoint, Stealthbits, Varonis), Data Classification (BigID, Boldon James, Microsoft Info Protection, TITUS), Data Loss Prevention (Forcepoint, McAfee, Symantec), Info Rights Mgmt (Microsoft Info Protection, Seclore, Vera.
$48 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Flagging Issues: Identify and flag errors, inconsistencies, or suspicious activity in voter registration data collected from canvassing teams, ensuring high standards of data quality and compliance.
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Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Software Engineering.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Role description: This role is a unique chance to workwithin Arcadis Intelligences Solution Architecting, Systems & Data group, providing services including Data Migration and Integration, Data Warehousing, Master Data Management, Big Data and Analytics, Software, API and Service development capabilities within our multi-discipline solutions delivery teams.
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Partner with HR and business leaders to provide thought leadership and strategic thinking for the structure of analytics initiatives for people strategy, through demonstrating both expertise and execution with robust analysis and HR and business data integration; Collaborate effectively with HR and business stakeholders to ensure analytics identify actionable improvement opportunities aligned with execution of organizational strategic talent priorities, plans and resources.
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Your sense of ownership is needed as you take on responsibility for data compliance and data access honesty reporting for Refinitiv and direct relationship exchanges in Americas, managing Americas accrual inventory system including managing the accrual to allowable limits and reconciling and resolving accrual variance.
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Are you passionate about genomics, big data, and contributing to groundbreaking research in the field of cardiometabolic diseases? - Analyze clinical/genomics data using statistical approaches such as longitudinal analysis, mixed-effect modeling, regression, and machine learning in large EHR-based biobanks, such as the UK Biobank, Million Veteran Program, and Penn Medicine Biobank.
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big data warehouse jobs Company: Agoda in Philadelphia, PA
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