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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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We have dramatically grown our work with big brands (Amazon, Fender) and sports brands (LA Galaxy, Washington Commanders). Experience with Facebook Ads & Google Ads are required and experience with Snap Ads Manager, TikTok Ads Manager, LinkedIn Campaign Manager preferred.
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Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala etc), Data Modelling & Data Architecture. Big Data Modeler/Architect.
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Deep expertise in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects. Role: Sr. BIG Data Solutions Architect.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala etc), Data Modelling & Data ArchitectureFinancial Services experience , FX Domain knowledge preferredData Concepts & Data Modelling.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Model validation experience in financial services industry a big plus. Your critical thinking skills help you to see the details within the big picture, informing your decision making and recommendations to solve problems.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Master's degree in a quantitative field, e.g. Statistics, Financial Engineering, Data Science, Math. You give meaning to data. It is an asset if you possess a Bachelor or equivalent degree in Business, Accounting, or Finance and a professional designation (e.g., CPA, MBA, CIA, FRM, CRMA) or equivalent business experience.
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Extensive background in strategic development of big data solutions, data harmonization, and standardization, with expertise in ontology-guided data integration. We are committed to collaborating with academia and emerging biotech companies to expand our reach and impact in cell therapy, gene therapy and data sciences.
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Recent work includes the development of new “big data” computational algorithms to predict gene function, discovery of new mitochondrial pathways, and the discovery that hypoxia (low oxygen) can profoundly improve the healthspan and lifespan of mouse models of mitochondrial disease.
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big job Title: big data Company: Rackspace Us in Boston, MA
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