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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
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The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
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Proficiency in data engineering and data visualization tools/languages such as Python, SQL, Data Lake, Tableau. Proficiency with big data technologies (e.g., Hadoop, Spark), database frameworks (e.g., SQL, NoSQL), and cloud services (e.g., AWS, GCP.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with Big Data Technologies (Hadoop, Spark, RedShift, Big Query, Apache Stack) Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, Power BI) 3+ years of experience with data scripting languages (e.g., SQL, Python, R etc.,) or statistical/mathematical software (e.g., R, SAS, or MATLAB.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data frameworks like Snowflake, Spark and AWS services. High familiarity with visualization tools like Tableau, Grafana, Looker or similar to create and present compelling views of user behavior.
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Experience with data visualization tools (e.g. Power BI, Tableau). Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water.
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Candidates should have experience with big data handling tools and analytics visualization tools and sustainability reporting experience (e.g. GHG inventories, carbon accounting, GHG protocol, GRESB, CDP, SEC requirements, etc.
$85,000 - $110,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data visualization tools such as Kibana, Grafana, or equivalent BI software. We are a vital partner for multiple teams, and your technical communication skills, passion for media and big data, and business acumen will all contribute to the development of complex solutions to power the future of Television.
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Presentation/Dashboard (e.g., data visualization) skills. Detail-oriented and big picture thinker: can apply both micro and macro mindset (can behands on and strategic). Gather and format data into reports and dashboards that can be utilized by senior leaders.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python and/or R, big data tools like Hadoop, or data visualization tools such as Tableau. Business Intelligence Support: Provide support for Business Intelligence (BI) and data visualization, including online customer service dashboards and ad-hoc requests requiring data analysis and visual representation.
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Experience in Reporting / Visualization tools (Tableau, Qlik, Spotfire). Streaming/Real-Time data technologies (AWS Kinesis, Kafka, Flume) This opportunity is a Fulltime position as Data Engineer.
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You will have a strong background in data visualization (Tableau, ThoughtSpot, PowerBI), semantic layer development (Snowflake, Google Big Query, Azure Synapse), Model Development and Deployment (Snowpark, Google Vertex AI) and experience in Gen-AI deployment and strategy; and be able to talk across data technologies to coordinate development and QA of your data products.
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Cloud (AWS) / RDBMS (SQL Server, PostgreSQL, Oracle, DB2) / NoSQL / Python / Big Data (Spark) / Integration Tools (AWS Glue/Lambda / Microsoft PowerShell / AWS SDK / Cube.js / Visualization Tools (AWS QuickSight)/SQL, Python.
RemoteExpandApply NowActive JobUpdated 2 days ago
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