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Extensive experience working with SQL and Master Data Management Onsite 2-3 days per quarter apart from initial 2–3-week onboarding period in Richmond, VA. Desired: Experience working in Azure Cloud environments.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure SQL Database, ADLS, Entra (Active Directory), Key Vault, Power BI, and other Azure resource types.
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IT Dynamics Field Services Lead, Microsoft Dynamics 365 Field Service, Azure, MS Excel, SQL, PowerBuilder. Experience with Azure DevOps to create Product Backlog Items, write Acceptance Criteria, develop and run Test Plans.
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Expertise with Microsoft SQL Server environments (SQL Skills, Database Server Administration, SSIS, SSAS, SSRS) and Azure SQL (e. Proven experience creating objects, performance tuning, query optimization, and troubleshooting scalability issues within Microsoft SQL Server or Azure SQL Server.
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Hands-on experience shipping scalable data solutions in the Azure Cloud (e.g., AWS, GCP, Azure), across multiple data stores (e.g., Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats), and methodologies (e.g., dimensional modeling, data marts, star/snowflake schemas.
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Roles & Responsibilities:Hands-on Development on PEGA Robotics Automation projectsDevelop custom code using C# and Oracle PL/SQL scriptingIntegrate and deploy solution in Robot Manager and PEGA BPM platformDeploy and administer BOTS in Azure cloud ecosystem , support production deployments on monthly basisWork in Agile environment and ensure self-accountability for project deliveryUnderstand the business process and improve the BOT performance by fine turning the BOT activities.
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Prior experience with Power BI or any other Self Service BI tool, Cloud data platform (Snowflake, Azure SQL, Redshift) is preferred. Cloud Data Platform (Snowflake, Azure SQL, Redshift) experience a plus.
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Understanding of data services including Cosmos DB, Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse and when to use each. Working knowledge of Azure DevOps, ARM Templates, Azure Policies, Azure Blueprints.
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Ability to configure and manage any Azure component pertaining to ETL/ELT processes (ADF, Azure SQL, Azure Data Lake, Databricks, Power BI) Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Microsoft Azure and SQL technologies.
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Design and development of data marts in Snowflake preferredWorking knowledge of Azure/AWS Architecture, Data Lake, Data FactoryBusiness analysis experience to analyze data to write code and drive solutionsKnowledge of: Git, Azure DevOps, Agile, Jira and ConfluenceWorking knowledge of Erwin for data modelling.
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Hands-on experience in designing and building highly scalable and reliable data pipelines using Big Data stack (e.g., Airflow, Azure Data Pipeline, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. 2+ years with databases such as SQL Server, Oracle, MySQL. Experience with cloud based data services offered by Azure, AWS and Google.
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Experience with Azure architecture and SaaS services like Service Fabric, SQL on Azure, App Insights, App Services, Functions Apps. Experience with D365 F&O automation using Azure DevOps.
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Experience on the Microsoft Azure platform including Azure Data Factory (pipelines and mapping & wrangling data flows), Azure SQL, Azure Data Lake Gen2, Azure DevOps.
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