Lead Assistant Manager - #968597

Job description

Company Description

At EXL, we prioritize collaboration, character, and tailoring solutions to help clients make better business decisions and drive more intelligence into their digital operations. As a business evolution partner, we aim to deliver efficient and sustainable models at scale, optimize outcomes, and help our clients outperform the competition. Our specialization in data science, transformation, and change management can help make businesses more efficient, effective, and customer centric. We deliver solutions that are shaped by deep industry expertise and a focus on your entire value chain.

Job Description: As a Azure Data Engineer, you will be a crucial member of our data management team, specializing in innovative codeless architecture solutions. You will be responsible for designing, implementing, and maintaining robust data pipelines and orchestration workflows to support our data-driven decision-making processes.

Key Responsibilities:

• Design and implement end-to-end data pipelines on Azure, including data ingestion, processing, transformation, and storage.
• Develop and maintain data processing jobs using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure HDInsight.
• Optimize data storage solutions for performance, scalability, and cost-effectiveness, leveraging Azure data services like Azure Blob Storage, Azure SQL Database, Azure and Azure Data Lake Storage.
• Implement data security and compliance measures in accordance with industry standards and regulatory requirements.
• Troubleshoot and debug data pipelines to ensure reliability and accuracy of data processing.
• Monitor performance and health of data solutions, and implement proactive measures for optimization and maintenance.
• Document technical designs, configurations, and processes for knowledge sharing and future reference.
• Stay updated on the latest Azure data technologies and best practices and recommend improvements to existing data solutions.

Essential Skills and Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field or equivalent work experience.
• Proven experience designing and implementing data solutions on the Azure cloud platform.
• Strong proficiency in SQL and experience with relational and non-relational databases.
• Hands-on experience with Python, Power BI Cloud, Azure SQL Server
• Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, and Azure Data Lake Storage.
• Min. 2 + years of experience in Azure Data factory and Azure Databricks.
• Familiar with CI/CD Process
• Familiarity with data governance, security, and compliance principles.
• Excellent problem-solving and analytical skills, with a strong attention to detail.
• Effective communication and collaboration skills, with the ability to work in cross-functional teams.
• Azure certifications such as Azure Data Engineer Associate is a plus.