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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. Plan, design, build, test and deploy data warehouse and data mart solutions.
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Works to increase the usage and value of the data warehouse and ensures the integrity of the data delivered. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR.
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Expert in applying SCD types on S3 data lake using Databricks/Delta Lake. Experience with data streaming such as Kafka. Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$87,000 - $115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities. Build and lead the Analytics community within HW that includes IT and Business, with the goal of building a data-driven enterprise.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers.
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Required Skills: + years of experience as a Business/Data Analyst; prior experience in working in Data Warehouse, Master Data Management, Analytics environment Bachelors Degree Strong analytical, strategic thinking and problem-solving skills including ability to clearly and concisely gather, interpret, analyze and document Business Process, User and Data Functional requirements in a structured way.
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The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark. Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks.
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Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: Performant has an immediate opening for a Sr. Data Warehouse Architect/EDI Specialist. Technical expertise in enterprise-class data warehouse solutions and services, including advanced skills in areas such as:•Data warehousing methodologies and modelling techniques (Kimball, 3NF, Star Schema, Dimension modeling, Data Marts, Operational Data Stores, Data Vault 2.0 a plus)•Demonstrated skills with Matillion, WhereScape RED / 3D / Data Vault Express automation tools for SQL Server or Snowflake target destinations.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data warehouse jobs Title: analytics engineer lead data in Holdrege, Nebraska
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