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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Join Elev8 Events as our Remote Data Entry Specialist and be part of a team that is passionate about creating exceptional travel experiences for our clients. Position Overview: Elev8 Events is seeking a meticulous and detail-oriented Virtual Data Entry specialist to support our Travel Department in accurately entering and maintaining client information, travel bookings, and other essential data.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend.
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Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse. Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell ScriptingDesign the Data replication systems and integration systems by evaluating various products and deciding on the better technology that meets the corporate objectives.
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Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), Data Migration service (DMS.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORTA proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Implement data pipelines using Apache Spark/Databricks. Whether you’re interested in building a crypto strategy, identifying risk, or discovering valuable market intelligence, our platform provides the most complete data set and sophisticated attribution capabilities on the market, resulting in the actionable insights companies need to grow and prosper safely in a web3 world.
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5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Familiarity with modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) preferred.
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We are seeking a dynamic and experienced Project Executive with a proven track record in Data Center Construction to lead our projects in the Nashville area. Job Title: Project Executive - Data Center Construction.
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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data job in Jersey City, NJ
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