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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Experience working platform like Apache Spark, Apache Flink, Glue, Kafka Experience with SQL/ NoSQL platforms such as Redshift, DynamoDB, Tiger graph, Snowflake Experience with Orchestration tool like Alteryx, Terraform, Salt, CloudFormation Good knowledge of Cloud AWS, Azure, OCI (+ knowledge of CSP-specific services) Experience with incident management tools.
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Responsibilities Responsibilities: Designs and implements secure, scalable, and efficient data architectures (OLTP as well as OLAP), Sybase/ SQL Server/ Oracle/ Postgres/ MySQL/ DB2/ Teradata/ Snowflake/ Netezza Develops and enforces data governance standards and policies.
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The DWA/EDI specialist will architect, design, implement and maintain data interchange systems with external and internal partners and applications into the company’s modern data stack which include multi cloud platforms, Snowflake, and EDI pipelines.
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Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB Working experience with Agile Methodology and Kanban Good knowledge of SQL.
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As a Database Architect, you will be responsible for designing, implementing, and maintaining the database systems that support our organization's data needs. We are seeking a highly skilled and experienced Database Architect to join our Client's team.
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KEY SUCCESS FACTORS Must have at least 10 years of experience in Data Integration using integration tools like DBT and ADFMust have 2+ years of experience working with Snowflake, preferably in Azure cloudMust have at least 10 years of experience in database development using SQL Must have at least 5 years of experience in architecture and design of Enterprise Data Warehouse environments.
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Advanced Knowledge in Data Warehousing: Minimum of 5 years specializing in data warehouse design, including experience with data lakes, data-lake houses, and Azure-based technologies such as Synapse, Azure Data Lake, Databricks, and Snowflake.
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At least 3 years of Snowflake Architect level experience (Production Grade) with previous job titles such as Data Analytics Architect or Principle Engineer. Snowflake AWS Architect role / (IT Software 38372) Location: 540 W. Madison Avenue in Chicago, IL Hybrid role You will love working as a Snowflake / AWS Architect in Chicago, Illinois.
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Solution architect ( Microstrategy Cloud / Business Intelligence / Data Visualization) Looking for Solution architect to re-imagine Data and Analytics landscape to support data acquisition from many disparate sources, efficiently move the data into our data platforms, transform and store it in our lake and warehouse, then create usable analytics.
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Hands-on experience with AWS and cloud-based data services and solutions (e.g., Snowflake, Databricks). Architect and implement solutions for real-time data processing, streaming analytics, and batch processing.
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The informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development.
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5+ years of experience developing orchestration, file transfer, and data transformation strategies with technologies including Mulesoft, Snowflake, and Control-M. This Lead API Architect will be responsible for the design of architecture, patterns, and technology solutions to guide the build of API-led integration solutions to build a connected WBD digital ecosystem and seamlessly exchange data between systems.
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Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation where you set customers up for long-term success with scalable implementation and data governance best practices.
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Ensures ServiceNow integrates seamlessly with other enterprise tools and systems (e.g. Workday, Snowflake, Harness, Jira, etc) to enhance workflow automation and data consistency across the board.
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