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Strong understanding of data warehousing architecture, with experience in implementing and maintaining data lakes using tools like Snowflake, AWS Redshift, or Google BigQuery. Provide guidance and recommendations on appropriate database technologies and architectures to support GRC's data strategy, ensuring alignment with business objectives, and future growth and development.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Good understanding of database services within the Google Cloud Platform, including familiarity with data warehousing and ML concepts in BigQuery, would be a valuable addition. Business Intelligence Analyst Intern - CDO Data Consumption Team.
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He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts. Design, develop and manage Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy data and 3rd party vendor software systems.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with AWS services such as Athena, Glue, DataBrew, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift, SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation.
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Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modelling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles.
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Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Extensive knowledge of and experience with large-scale database technology (e.g. Databricks, Spark, Netezza, Oracle Exadata, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, etc.
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Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or closely related occupation) performing business intelligence data warehousing development using Snowflake and Tableau.
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Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases. Strong hands-on coding experience in Java, Python, SQL and comfortable diving into any new language or technology.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Design and implement scalable data models and architectures to support data warehousing, analytics, and reporting needs.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL. Strong knowledge and experience with traditional and cloud database technology (e.g. SQL, Snowflake, and/or Azure) and an advanced understanding of data warehousing, data flow and handling.
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Advanced skills in IBM's Infosphere Data Stage product lineExperience working with Oracle PL/SQL and SQL Server Database DevelopmentWritten and oral communicationsBackground in data integration between business systemsRequirements analysis and data modelingExperience working with Azure Cloud ,ADF and Data BricksExperience with other data integration tools and techniques including IIB, MFT,web services, messaging and other modern data warehousing.
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