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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Experience with any of the Data Governance tool – such as Collibra, Alation, Informatica Axon DG, or Apache Atlas.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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Work with data and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users. 4+ years of experience in a data analyst role working at scale.
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Mediavine is seeking a Data Analyst II to join our Engineering team. Expand the Test and Learn process we use for exploratory data analysis and A/B testing, this includes helping stakeholders decide on testing strategy, generating baselines, approximating sample sizes and performing analysis of test results.
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Experience with R or Python for creating data models or data manipulation. The Data & Analytics team consists of data analysts, data engineers and analytics engineers.
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As a more experienced member of the team, the person in this position will bring their expertise in supporting the business by helping to guide direction through data based decisions. Mediavine's Data & Analytics team is responsible for building the most effective platform and tools to help uncover opportunities in order to make informed decisions.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
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Exposure to Business Process Analysis, Data Analysis, Finance, and Accounting, Excel and Macro Development, SAS or Other Reporting Tools, Data and Analytics, Microsoft Power Platform, SharePoint, RPA (Automation Anywhere big plus), Software Development, Project Management, Business Process Improvement/Engineering (BPI), Technical Support and Customer Service, Business Knowledge (Any Area) are all a big plus.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$100,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Extensive hands-on expertise in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP) 5+ years of experience for a Solution Architect (8+ years for Senior Solution Architect) with system/data integration, development, or implementation of enterprise and/or cloud software.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Job Summary:As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing. 6+ years of related experience in designing and implementing enterprise applications using big data.
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Fluent 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 data warehouse and data pipelines that are used for financial and regulatory reporting.
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Experience with cloud based Big Data technologies like Hadoop, Hive, Spark, and Airflow. The Lead Big Data Developer, working independently, will develop, test, debug and document software components commensurate with their experience as well as direct development staff in support of a software engineering effort.
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