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At Metropolis, we are building the next-gen end-to-end data ecosystem including Data Ingestion, Data Warehousing, Data Integration, Analytic Data Products and Machine Learning capabilities.
$140,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong expertise in data modeling, ETL processes, data integration, and data warehousing concepts. Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery.
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Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
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Expertise with RDBMS and Data Warehousing (Strong SQL) with Redshift,Snowflake or similar. 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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Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
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Strong technical understanding of data modeling (data vault 2.0), data mining, master data management, data integration, data architecture, data virtualization, data warehousing and data quality techniques with hands on experience using data management technologies like Informatica PowerCenter/IICS, Collibra, Master Data Management, DBT Cloud, Denodo and Golden Gate.
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The ideal candidate will have 2-3 years of data engineering experience and a strong background in API integration, data warehousing, ETL processes, and proficiency in SQL. Additionally, candidates should be comfortable working with data from multiple platforms and have digital media publishing experience.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years of progressive experience in definition and implementation of Data Warehousing and Business Intelligence solutions supporting ecommerce, direct-to-consumer marketing, or consumer data analytics teams.
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Working closely and collaboratively across technical and non-technical stakeholders, the Engineer will be responsible for supporting various customer data and consumer marketing services initiatives, including data onboarding projects, data enhancement initiatives, data feeds to external business users as well as internal system enhancements and data integration projects.
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This experience will include the design and development of reliable, highly scalable, flexible, and high-performing data warehousing solutions. The DevOps/SRE Engineer will be a member of the Data Services team, which supports the enterprise customer data warehouse solution.
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The IT Program Manager must possess advanced data warehousing and BI architecture skills, encompassing the ETL process, dimensional modeling, OLAP, and dashboards. Experience with reporting systems and data warehouse requirements gathering, analyzing, and designing ETL processes using SQL Server Integration Services (SSIS.
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Knowledge of information access and delivery methods, analytics applications and tool portfolio, data sourcing and integration methods such as OLAP/ROLAP/HOLAP and an understanding of data warehousing/mining, ETL, EII, data cleansing, and architecture.
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Act as the principal architect and developer for all data-related operations, including data modeling, database design, and data integration. We seek a highly skilled and self-motivated Senior Data Engineer, expert in large-scale log processing and data warehousing, without reliance on a dedicated IT team.
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Required Qualifications: 10+ years experience technically leading and/or implementing end-to-end data management activities, from foundational activities like data governance, data quality, and metadata management, to value-deliverables like data warehousing & BI, data science and analytics, and data driven applications.
$183,300 - $256,600 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Collaborating with team members to design, develop, test, document and implement data integration, data warehousing, and business intelligence solution. + Develop integration processes with different external platforms to extract data efficiently and accurately.
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data integration warehousing jobs in Los Angeles, CA
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