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Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP/AWS Big data services, Databricks, and other tools & technologies.
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Experience in retail media, marketing data privacy, MMM, ML/AI, LLMs, and DCR technologies. Demonstrate deep expertise in digital advertising measurement, attribution and incrementality methodologies, and data privacy regulations.
$102,700 - $143,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of the modern data stack landscape (Airflow, Dagster, dbt, Atlan, Alteryx, Collibra, Talend, Databricks, Snowflake, Tableau, Metabase, Mode, Superset, Fivetran, Stitch, etc.) You will leverage your intellectual curiosity, analytical mindset, and cross-functional program management skills to define & execute data governance and Master Data Management (MDM) strategies, and foster a culture of data-driven decision-making.
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CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus. Experience operating in a modern cloud environment such as AWS, GCP, or Azure or large-scale data centers is a plus.
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Advanced knowledge of databases and data management with proficiency in ad hoc reporting/query writing and data manipulation (with SQL, Tableau, OBIEE, Power BI, etc. The Director of Institutional Research is integral to the operations of the Institutional Effectiveness unit, providing essential data and analytical insights to inform university leadership.
$120,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Design and build data architecture for data science projects using big data technologies.
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Seasoned Big Data Engineer with 8-12 years of Industry experience. Experience in building highly scalable Big Data solutions and ETL ecosystems. As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices.
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Title: Data Engineer/Analyst – 12 Months Contract. Proficient in data visualization tools such as Power BI. Data mining in PLM/SAP. Develop and maintain data documentation, including data dictionaries and data lineage.
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Along with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience or familiarity with data science platforms such as Databricks, H2O, AWS Sagemaker. They can encompass both quantitative and methodical skills or more creative and innovative skills like establishing cause -and-effect in a high-tech business environmentEstablish and operate a Data Science and AI Community of Practice (CoP) for the purposes of sharing standard methodologies and frameworks, discussing emerging trends and technologies, and cross-team sharing of ideas and initiatives.
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Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability. Microsoft Azure certifications, such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert, are preferred.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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10+ years of experience with a proven experience in data platform and big data engineering. Job Title: Lead GCP Data Engineer. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.
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Experience in several of these areas is desirable: opto-mechanical systems, ultra-high vacuum systems, design of inspection equipment or similar instruments, motion controls, electronics, data acquisition systems such as Labview, measurement instrumentation, tooling & test fixture design, supplier management, new product introduction.
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Partner with our ad sales team, engineering and data science to produce the data requirements and establish measurement methodologies. The product team at Albertsons Media Collective plays a crucial role in developing innovative ad products and premium data-driven solutions that empower advertisers to reach millions of shoppers with highly targeted ads while enhancing the shopping experience.
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Our ALOHA and Voltaix products are critical to the manufacturer of the newest computer chips required for Big Data and the Internet of Things. Assembles equipment and sets up experimental systems, with the guidance of a project engineering manager.
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big data jobs Title: devops engineer Company: Intuit in Fremont, CA
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