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A minimum of 10+ Years of experience as a lead Data Architect/Analyst with hands on experience in. Experience Level : A minimum of 10+ years of hands-on technical experience in working with Snowflake, Power BI, ETL like 5tran, DBT, etc.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. As a Staff Partnerships Analyst on the Partnerships Analytics team, you will help lead strategic, data-driven decision making at Mailchimp.
$152,000 - $206,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Monitor, analyze, and report on key performance metrics using business intelligence tools such as Tableau, providing insights and recommendations for data-driven decision-making.
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. 5+ years’ experience in software development, with a focus on building cloud infrastructure for data professionals (Using Cloud providers like AWS, GCP.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL); experience with data modeling, data warehousing, and ETL processes, proficiency in various programming language (e.g., Python, SQL, Java), experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Databricks, Hadoop, Spark, Kafka, Cassandra.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, or other platforms. As required/appropriate, perform hands-on data investigation and analysis in support of program delivery, including development of conclusions and implications.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Hands-on experience with SQL, NoSQL, and data warehousing technologies. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models.
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Prior experience working for one of the following: Experience with at least working knowledge on one of the following products (ACE/ADM, Determinator, Cardguard, TRIAD/PowerCurve) OR A cardbrand, focusing on issuing specific capabilities OR issuing products Prior experience working for one of the big 4 or another management consulting firm, again with emphasis on credit card issuing.
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Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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As a Staff Product Analyst on the Product Analytics team, you will help lead strategic, data-driven decision making at Mailchimp. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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big data hands on jobs Title: marketing in Atlanta, GA
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