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Senior Specialist - Data Engineering

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Date: Nov 30, 2022

Location: US

Company: LTIMindtree

Azure Architect (Data) Has a strategic thought process, planning capabilities, strong business acumen, and the ability to influence senior leadership. This individual works with little or no oversight and provides coaching and direction to other architects on the team and across the business. This role is critical in ensuring we collectively achieve our Reyes Holdings IT Purpose: Enabling Business & Employee Success Through IT Services That Anticipate Demand And Simply Work, Anywhere, Anytime. Partner with the Architecture Review Board and Technology Leadership Council to seek opportunities to highlight how digital business initiatives will potentially impact enterprises' economic architecture and metrics. Understand the business's economic and financial levers that are susceptible to digital transformation, to effectively support and guide technology investment decisions. Design and construct future- and current-state business models to practically apply new and emerging technologies to drive them. Extensive experience providing practical direction within the Azure Native services and Hadoop Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etcAzure Data FactoryAzure DevopsAzure Storage/ Data Lake Extraction, Transformation and Loading Analytics development Report Development Relational database and SQL language Should be well versed with Data Structures algorithmsUnderstanding of software development lifecycle Excellent analytical and problem-solving skillsAbility to work independently as a self-starter, and within a team environment Good Communication skills- Written and Verbal DevOps on an Azure platform- Experience developing and deploying ETL solutions on Azure- Strong in Power BI, Java, C, Spark, PySpark, Unix shell/Perl scripting- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage


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