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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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Experience with database technologies (e.g., SQL, DataBricks, RedShift, NoSQL), ETL and data integration tools (dbt, AWS Glue) Familiarity with data science algorithms, such as advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling, and model evaluation, is a plus.
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We have partnered with our client in their search for a Big Data/ETL Developer for a Hybrid Role in either San Diego, CA or Plano, TX.Responsibilities 3-5 years’ experience developing DB schemas, creating ETLs, and familiar with Hadoop/MPP systems.
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The Sponsored Search Data team is responsible for designing, implementing, and maintaining data pipelines, databases and ETL processes for Walmart's Sponsored Search Advertising platform.
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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable FrameworksExperience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc.
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Agility Partners is working with a Fortune 50 retailer based out of Cincinnati, Ohio in search of a talented Quality Engineer with a heavy focus in ETL testing. 4+ years of ETL testing/SQL experience.
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Familiarity with web application development and design, database technology and ETL tools; Even better if you have experience with Hybris Commerce, SQL Server, MySQL and search engine technology.
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Provide mentorship and guidance to Junior developers in MDM, ETL, SQL, BI technologies, overall design of data, best practices, innovation, designs, and processes. Data Modeling and low-level technical design in MDM including developing data integrations for batch, bulk/incremental/real time REST APIs, define rules for standard REST API/SIF/Message Queue based integration for Search-before-create, bi-directional sync, implement Match Rules, develop extensions, user exits, and composite web services for solution integration etc.
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Qualifications: The EDW/BI Administrator is responsible for the development, operations, and optimization, BI and related ETL activities:Data integration architecture and development using COTS product, expert knowledge in using Pentaho Data Integration in particularExperience with OpenShiftDatabase technologies and database server internals, SQL programming in ANSI and Oracle SQL. PostGres a plus.
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Constructing and performing complex database search queries using Apache NiFi for data ETL, SQL for database management and pandas in Python for data processing. PhD in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 15 years of experience.
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The ideal candidate will have a broad set of ETL development, DBA, and data analysis skills with extensive hands-on expertise using the Microsoft SQL Server stack. Skills: ETL, SQL Server, SSIS, Business Intellegence.
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Works with Enterprise Architects to create as well as review low level and high-level design documents, data flow designs, support architectural solutions, develops MDM, ETL, BI, Data, strategies, roadmaps for one or more technology domains.
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This will require working knowledge of SQL, data manipulation (ETL) in Power BI "M", data model structure / relationships between tables, DAX measures, and report building.
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Experience in the financial services industry, preferably buy-side, in major RDBMS such as SQL Server, experience coding in or using back end technologies, SQL, ETL tools, TSQL, etc.
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Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci) · Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.
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