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<b>Responsibilities</b><ul><li>Able to participate in business discussions and assist gathering data requirements.&#160; Good analytical and problem-solving skills to help address data challenges by leading a team&#160; &#160;</li><li>Proficiency in writing complex SQL queries for data extraction, transformation, and analysis.&#160; Knowledge of SQL functions, joins, subqueries, and performance tuning.&#160; Able to navigate source systems with minimal guidance to understand how data is related and use like data profiling to gain a better understanding of the data. Hands on experience with PySQL/Pyspark etc.&#160;&#160;</li><li>Hands on Experience in creating and managing data pipelines using Azure Data Factory.&#160; Understanding of data integration, transformation, and workflow orchestration in Azure environments.&#160;&#160;&#160;</li><li>Knowledge of data engineering workflows and best practices in Databricks.&#160; Able to understand existing templates and patterns for development. Hands on experience with Unity Catalog and Databricks workflow.&#160;&#160;</li><li>Proficiency in using Git for version control and collaboration in data projects.&#160; Ability to work effectively in a team environment, especially in agile or collaborative settings.&#160;</li><li>Clear and effective communication skills to articulate findings and recommendations for other team members.&#160; Ability to document processes, workflows, and data analysis results effectively.&#160;</li><li>Willingness to learn new tools, technologies, and techniques as the field of data analytics evolves.&#160; Being adaptable to changing project requirements and priorities.&#160;</li></ul><b>Skills</b><ul><li>9+ years of overall experience with more than 5 years of expertise in Azure technologies</li><li>Ability to envision/lead E2E solution and solve technical issue during offshore.</li><li>Azure Databricks, Data Lakehouse architectures, and Azure Data Factory.</li><li>Expertise in optimizing data workflows and predictive modeling.</li><li>Designing and implementing data pipelines using Databricks, Spark,</li><li>Expertise in batch and streaming data solutions, automating workflows with CI/CD tools like Jenkins and Azure DevOps, and ensuring data governance with Delta Lake</li><li>Spark, PySpark, Delta Lake, Azure DevOps, Python.</li></ul>