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Data Warehousing: SQL Server, Snowflake, Azure, AWS Redshift, Google Big Query, SAP or similar. Data Integration: Databricks, Talend, SSIS, Pentaho, Informatica or similar. Key Skills: Data Modelling, Databricks, Snowflake & Machine Learning.
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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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Strong Experience with cloud-based data warehouses – e.g., Snowflake, Big Query, Synapse, RedShift, etc. Experience in BI tooling such as Qlik, MicroStrategy, Tableau, PowerBI or Looker. Experienced with ETL/ELT in Databricks, with Medallion architecture and with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT.
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Role: Sr. Big Data Engineer with Cloud Exp Locations: Remote Duration: 3 Months Contract to hire Requirement: Client treats Data as Product and our Senior Engineer will be a key member of the engineering staff working across Business Services Engineering, Data Engineering, Platform Engineering, and Infrastructure Engineering to ensure that we provide a fiction-less experience to our customers, maintain the highest standards of protection and availability.
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Pittsburgh was recognized by Reader’s Choice Awards as one of the top 10 large cities in the U.S. It also ranks in the top 20 big cities to live in reported by WalletHub. Pittsburgh is ranked among the top best cities in the U.S. for first-time homebuyers according to Lending Tree.
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We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn teen, pottery barn kids, Rejuvenation, Mark & Graham, west elm, or Outward.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience in working to gather requirements for an EDW: e.g., Hadoop Big Data Environment, Netezza, Snowflake, Azure, Databricks. Experience with tools such as ERWIN, ETL tools (DataStage Informatica), Data Catalog Tools (Alation, Informatica) Star-Schema Modeling, Snowflake Modeling, FACT and dimension tables, Erwin 4.0, Power BI, Business Objects, Tableau, Cognos, MicroStrategy, Erwin 4.
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But there are county parks, state parks, and riverfront parks - you'll never run out of beautiful places to explore in this part of the U.S. This big city with a small-town mentality also features exemplary schools, a variety of cultural opportunities, major league sports, and an affordable cost of living.
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Experience with Databricks for big data processing and analytics. The Payer Data Analyst possess strong analytical skills, proficiency in SQL, Databricks, Python, and Reporting/BI tools, and a deep understanding of payer and claims data.
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Develop and deliver training materials focused on Databricks platform and related big data engineering topics. Databricks Certified Associate Data Scientist for Apache Spark. Databricks Certified Professional Data Engineer for Apache Spark.
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Experience with Databricks and cloud storage is a big bonus. Secondary: Databricks and cloud storage, Tableau and/or PowerApps. Experience with Tableau and/or PowerApps is a minor bonus. Experience with Databricks and cloud storage is a big bonus.
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It also boasts three professional sports teams, a zoo, aquarium, the National Aviary, excellent schools and health care, and a wide variety of outdoor and family activities, including Idlewild, Kennywood and Sandcastle Water Park. Despite Pittsburgh's big city offerings, people are friendly, crime is low, rural settings are within commuting distance, and cost of living is well below average.
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Accenture’s SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Intermediate-level proficiency with a Big Data platform (Hadoop, AWS, Azure, Databricks), including data extraction and connection to the platform for analytics. and seven years of experience working in a data processing, analytical or computer programming function; OR Master's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Economics, Finance, Industrial/Organizational Psychology and Econometrics, etc.
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big job in Pittsburgh, PA
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