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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc.
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Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc.
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Hands on Data Engineering Director / Analytics / Onsite in Los Angeles / Relocation package. This person ideally has experience in the gaming industry and has a very high level understanding of segmenting game data and user data.
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We do this through our Takitani foundation that grants scholarships to deserving local students, our solar farm on the Big Island, and other social & environmental initiatives. Develop and execute comprehensive social media strategies tailored to meet the unique goals of each brand, leveraging data-driven insights to optimize engagement on platforms including, but not limited to: Instagram, Facebook, TikTok, Pinterest, YouTube, and LinkedIn.
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The Data Engineering team (within DDSI) is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Generally, requires a minimum of 10+ years of experience in big and bulky items logistics sales and LTL sales and 3+ years of experience focus on final mile delivery service. Develop new business account relationships by understanding the customers’ business, identifying growth opportunities, and driving improvement with a focus on big and heavy items final mile delivery and LTL consolidation.
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Firm understanding of and experience with data concepts such as data mining, in-memory analysis, big-data analysis modeling and related best practices. 5+ years of experience in Business Intelligence/Decision Support/Data Engineering/Data Warehousing roles working with multiple disparate, large, complex datasets.
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Lead multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market. Develop a thorough knowledge and understanding of cross system integration, interactions and relationships in order to develop an enterprise view of Thrive Market’s future data needs.
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The San Gabriel Valley is less than an hour away from sunny Southern California beaches, and less than two hours away from local mountain resorts like Big Bear and Lake Arrowhead. The region boasts excellent public and private schools and universities close by, including Cal Tech, USC, UCLA, Cal State Northridge, Cal Poly Pomona, Azusa Pacific University and the Claremont Colleges.
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The team delivers world class sports science and data analysis services to a roster of world famous teams such as the New York Knicks and LA Chargers. Data visualization (Tableau, PowerBI, etc.
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Postgraduate training or equivalent experience in peptide synthesis, medicinal chemistry, protein engineering, and/or combinatorial chemistryStrong communication skills and experience presenting data in a team environment.
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We are seeking a tax partner with a modern understanding of the professional standards, technology, and data security necessary to lead our tax team and to work with other tax partners to insure timely delivery of excellent tax compliance and controversy work product.
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Experience in handling data environments and design solutions using cloud services like Azure Data Factory, Apache Spark, Azure Databricks or similar solutions. This position will be the primary technical resource, a hands-on individual contributor for the implementation of key services including enterprise data lakehouse, design ingestion framework, cloud data security and vulnerability remediation, network optimization, sandbox/workspace infrastructure-as-code and data enablement services, business intelligence services, AI/ML services, etc.
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This individual work closely with the Psychometrician/Statistician in data monitoring and management. Experience with statistical, qualitative analysis, and data visualization software packages (e.g., Alteryx, Dedoose, NVivo, SPSS, Tableau, etc.
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big data jobs Title: data administrator Company: Intuit in Pasadena, CA
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