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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Research and develop "Big Data solutions using technologies such as Hadoop, Storm, Databricks, Spark. In-memory data warehousing appliances, such as HANA or Exadata. Develops solutions for Decision Support, Near/Real-time Analytics, and custom BI dashboards/data visualizations.
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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we’re motivated to make the world a happier and healthier place for modern families.
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Proven hands-on configurations, data modelling and software development experience with understanding of finance, accounting and procurement applications and technology. Expert level hands-on experience demonstrating OneStream Platform features such as business rules, workflows, dashboards, data management, API, integrations with diverse data sources, BI blend, data visualizationExperience working in an Agile development environmentStrong development experience building and managing metadata, business rules, automating data flows, and building complex reports and dashboards within OneStream application.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. About the Team:The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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The Data Analyst is responsible for overall DTC systems master data quality and will work with appropriate partners to ensure proper controls and audits are in place to avoid data driven issues.
$63,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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Knowledge of data-driven processes, products, technology, and controls in key investment management functions; Support the development of key data transformation initiatives and corresponding process and system solutions through close collaboration with data owners and stewards, business and technology leaders.
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Lead data migration projects from a technical perspective (data mapping, scripting). Lead building a data platform and machine learning practice from the ground up. Proficient with AWS data-related services such as RDS, DynamoDb, Redshift, Data Migration Service (DMS), SageMaker.
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Oversee the collection, preservation, and organization of electronically stored information (ESI) and other relevant data in compliance with legal requirements. Effectively manage relationships with external vendors and handle legal department data responsibly.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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Prioritize and lead initiatives in data quality, data observability, data lineage, data catalog, and business glossary as core components of data governance. While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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As the Lead Cyber Security Engineer you will be the primary point of contact for the Secure Access Service Edge (SASE) implementation , shaping a global SASE implementation to protect architectural and design data.
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Knowledge of current Cybersecurity products, information data protection, DLP, Insider Threat, advanced malware detection, SIEM, and forensic tools. Strong background in a wide range of Cybersecurity including current advanced threats, threat protection, data protection, cloud security, malware protection and/or incident response.
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Proficiency in Yardi, Nexus and/or other ERP software systems is a plusProficiency in advanced data analytics tools such as PowerBi or Tableau is a plusUnderstanding of basic concepts in data base management such as Azure, SQL, et cetera is a plusBeing able to quickly master new software packages is a must.
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big data jobs Title: technology lead Company: Optello in Santa Monica, CA
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