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- Hands-on experience modelling, design, configuration, installation, performance tuning, and setting up sandbox for POC
- Work with business/application/solution teams to implement data strategies, build data flows, & develop conceptual/logical/physical data models
- Develop, and maintain conceptual, logical, and physical data models, implement of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms in cloud
- Lead scoping sessions to generate estimates and approaches for execution
- Minimum 2+ years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders
- 2+ years of data engineering developing, and deploying scalable enterprise data analytics solutions, design/development of Large Data Warehouse and/or Database Management Systems
- 2+ years of hands-on experience architecting and designing data lakes on cloud serving analytics and BI application integrations (Azure or GCP)
- 2+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
- Experience with tools like Azure Data Factory, Databricks, Integration Runtime Services
- Experience in Spark, Python or Scala, pySpark, Expert in T-SQL
- Big Data development experience using Kafka, Azure EventHub, IoT Hub
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