Ascendion - Azure Data Engineer - Python/SQL/ETL

<p><p><b>Description : </b></p><p><p><b><br/></b></p>Experience 8+ years.<br/><br/><b>Role</b> : Data Engineer(Tech Lead / Lead Consultant).<br/><br/><b>Location</b> Bangalore , Hyderabad , Chennai.<br/><br/><b>Responsibilities : </b><br/><br/><b>Key Responsibility Areas : </b></p><p><p><b><br/></b></p>- Design, build, and manage scalable and reliable data pipelines using Python or PySpark and Azure services.<br/><br/>- Lead a team of data engineers; mentor junior team members and enforce best practices in data engineering.<br/><br/>- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.<br/><br/>- Develop and maintain data models, ETL/ELT workflows, and data orchestration pipelines.<br/><br/>- Optimize performance of data solutions, ensuring efficient data access, transformation, and storage.<br/><br/>- Oversee the implementation and maintenance of Azure Data Factory pipelines for automated data movement.<br/><br/>- Ensure proper data governance, security, and compliance across all data platforms.<br/><br/>- Participate in architectural design and decision-making for enterprise-scale data platforms.<br/><br/><b>Key Skills & Qualifications : </b><br/><br/><b>Must-Have Skills : </b></p><p><p><b><br/></b></p>- Strong proficiency in Python or PySpark for data engineering and ETL development.<br/><br/>- Advanced SQL skills for data transformation and query optimization.<br/><br/><b>Deep experience with : </b></p><p><p><b><br/></b></p>- Azure Data Lake Storage (Gen2).<br/><br/>- Azure Data Factory (ADF).<br/><br/>- Azure Databricks.<br/><br/>- Experience with performance tuning and optimizing big data solutions.<br/><br/>- Strong understanding of data warehousing concepts, data modelling, and data governance.<br/><br/></p><br/></p> (ref:hirist.tech)