One75mb HRM

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Responsibilities
Key Responsibilities • Design and implement modern data architectures across cloud and hybrid environments &nbsp;• Develop and optimize data pipelines and ETL/ELT processes for high-volume, high-velocity data &nbsp;• Lead data platform modernization initiatives using cutting-edge tools and frameworks &nbsp;• Define and enforce data governance, security, and compliance standards &nbsp;• Partner with Data Science, BI, and Product teams to ensure data availability, accuracy, and performance &nbsp;• Provide technical leadership and mentorship to data engineers and developers &nbsp;• Implement DevOps/Data Ops practices for automated testing, deployment, and monitoring &nbsp;• Continuously evaluate and introduce innovative data technologies that enhance efficiency and scalability &nbsp;• Translate business requirements into robust and scalable technical data solutions &nbsp;• Support real-time and streaming data architectures for analytics and ML workloads &nbsp;• Designing and developing REST APIs / Azure App Services and implementing Azure PaaS solutions Requirements • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field &nbsp;• 8+ years of experience in Data Engineering or Data Architecture roles &nbsp;• Expertise in Python, SQL, Spark, Kafka, and Airflow &nbsp;• Proven experience with cloud platforms such as AWS, Azure, or GCP &nbsp;• Hands-on experience with Snowflake, Databricks, or Delta Lake &nbsp;• Strong understanding of data modelling, governance, and lineage tools &nbsp;• Excellent problem-solving, leadership, and communication skills Good to Have Skills • C#, .NET Core, Azure PaaS &nbsp;• REST API Development and EF Core &nbsp;• Leadership and Agile Practices &nbsp;• Blazor UI &nbsp;• Azure IPaaS (Azure Integration Services) &nbsp;• Design Patterns and Cloud Security best practices