What You Will Do:

📍Lead and execute data engineering projects from inception to completion, ensuring timely delivery and high quality. 📍Build and optimize data architectures for operational and analytical purposes. 📍Collaborate with cross-functional teams to gather and define data requirements. 📍Implement data quality, data governance, and data security practices. 📍Manage and optimize cloud-based data platforms (Azure,AWS). 📍Develop and maintain Python/PySpark libraries for data ingestion, 📍Processing and integration with both internal and external data sources. 📍Design and optimize scalable data pipelines using Azure data factory and Spark(Databricks). 📍Work with stakeholders, including the Executive, Product, Data and 📍Design teams to assist with data-related technical issues and support their data infrastructure needs. 📍Develop frameworks for data ingestion, transformation, and validation. 📍Mentor junior data engineers and guide best practices in data engineering. 📍Evaluate and integrate new technologies and tools to improve data infrastructure. 📍Ensure compliance with data privacy regulations (HIPAA, etc.). 📍Monitor performance and troubleshoot issues across the data ecosystem.

What You Will Need:

📍Bachelor’s or master's degree in computer science, Information Systems, Statistics, Math, Engineering, or related discipline. 📍Minimum 10 + years of solid hands-on experience in data engineering and cloud services. 📍Experience in leading and mentoring Team members. 📍Good Experience in Azure data factory (ADF), Databricks, Python and PySpark. 📍Good experience in modern data storage concepts data lake, lake house.

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