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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Design, build and maintain complex ELT jobs that deliver business value Translate high-level business requirements into technical specs Ingest data from disparate sources into the data lake and data warehouse Cleanse and enrich data and apply adequate data quality controls Provide insight and direction to guide the future development of MassMutual’s data platform Develop re-usable tools to help streamline the delivery of new projects.
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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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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. 3-5 years Experience in Data warehouse and Data lake implementation.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
$200,500 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. Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow.
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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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Build data engineering solutions in a Databricks/Azure data ecosystem that includes an enterprise data lake, data warehouse, and streaming analytics. Engineering experience in big data environments, including data lakes, Azure Synapse, Databricks, Redshift, Snowflake.
$46 an hourInternExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Design, implement, and optimize ETL/ELT processes for the extraction, transformation, and loading of data from various sources into our data warehouse. Experience with data warehousing and analytics projects within Microsoft Azure Cloud (preference Azure Data Factory, Snowflake)Experience with PowerBI, Tableau or other data visualization toolsExtensive experience writing complex SQL queries and evaluating execution plans.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Must be proficient with MS Office as well as most current specialized software products pertaining to marketing analysis, data analysis, and reporting such as (but not limited to) IRI, Nielsen, Retail Link and proprietary commercial data warehouse.
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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.
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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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Key Responsibilities: Spearhead the analysis and strategy for migrating data warehouse systems to Oracle Cloud, establishing a robust Master Data Management (MDM) framework for enhanced data exchange and governance.
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data warehouse jobs Title: data scientist Company: Booz Allen Hamilton Inc
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