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We are expanding our Data Engineering toolset and need an experienced AWS, Python and SQL Data Engineer. 5+ years of data engineering, data pipeline development, and ETL experience using Python, SQL, and databricks.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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The ideal candidate will have a strong background in data engineering, with specific expertise in Power BI, SQL, Python, and Databricks. Proficiency in Databricks, with hands-on experience in developing data models and working with notebooks in SQL and Python.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.
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Proficiency in Python, Scala, or SQL for data manipulation in DataBricks. Strong understanding of ETL, data engineering, and cloud platforms. We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing.
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Relevant certifications (e.g., ITIL, AWS DevOps Engineer, Microsoft Certified: Power Platform Developer Associate, Microsoft Certified: Power BI Data Analyst Associate) will be a plus. Knowledge in big data and streaming data pipeline architecture (Lambda/Kappa) and K8 cluster.
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Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc) In this role, you will support our live streaming events by focusing on cloud traffic and capacity planning (API Gateway, IPC between microservices.
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Certifications related to cloud technologies, such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified Professional Cloud Architect. Stay up-to-date on the latest Cisco networking technologies, F5 advancements, relevant data center trends, network security best practices, and cloud connectivity solutions.
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Certified IT Architect (CITA), Certified Enterprise Architect (CEA), Microsoft Cloud Platform and Infrastructure (MCSE), or AWS Certified Solutions Architect - Professional. Experience with scripting technologies (PowerShell, Bash, Python, Azure Resource Manager Templates, Desired State Configuration, JSON.
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Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation). Expertise with marketing tools such as Marketo, Salesforce Marketing Cloud, Google Ads API, Ads Data Hub and Adobe Campaign.
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High Level of digital literacy, ability to work efficiently with Excel (VBA), SQL, and or Python§ Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Preferred Qualifications: Experience with cloud-based database solutions (e.g., AWS RDS, Azure SQL Database). Relevant certifications, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect.
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