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Develop Big Data and Cloud data acquisition, integration and analytics while adhering to corporate strategies, policies, best practices, IT General Controls (ITGC) and SOX compliance where applicable.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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Strong Experience with cloud-based data warehouses – e.g., Snowflake, Big Query, Synapse, RedShift, etc. Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across DICKs.
$83,000 - $138,200 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SQL, Spark, Snowflake, Databricks, Big Data, AWS, and Scala or Python experience are highly preferred. We build various services from real-time APIs that support millions of requests per second to big data ETL pipelines to serve both internal and external clients.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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Experience building data pipelines/ETL and familiarity with design principles (Apache Airflow is a big plus!) Experience with data warehouse technologies and relevant data modeling best practices (Presto, Athena, Glue, etc.
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Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc). Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications.
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Proactively drive innovation in big data and the execution of our data engineering and data warehouse frameworks and services. The Data Engineering team designs, develops and operates big data services and tools to provide reporting and analytics for our customers and for the business from concept to delivery.
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5 or more years of experience in architecting/designing and leading development of big data/data lake solutions on Cloud platforms, preferably AWS (S3, Glue/EMR, Athena, AppFlow) or Snowflake.
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Worked with real time big data pipelines using distributed data processing systems using Apache Spark/AWS Glue/Beam. Experience with columnar database table design and building data pipelines (Redshift and/or Snowflake.
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Work with Snowflake and Databricks, leveraging their capabilities for working with big data and analytics. Develop high-scale software solutions to manage and leverage the big data that flows through our platform.
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Big Data Ecosystem | 2+ years of hands-on, professional experience with tools and platforms like Spark Streaming, EMR, Kafka. AWS Cloud | 2+ years of professional experience in developing Big Data applications in the cloud, specifically AWS.
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Mercer Digital specializes in business and cloud consulting, with a goal of transforming our clients' businesses by leveraging expertise in big data, cloud computing, and enterprise services.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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big data jobs in Pittsburgh, Fernley, Nevada
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