1/ Azure Data Lake Architecture : Architect, design, and implement scalable and efficient data solutions utilizing Azure Data Lake Storage and related services.2/ ETL Pipeline Development: Lead the development of end-to-end ETL pipelines, ensuring seamless data movement, transformation and loading within the Azure Data Lake environment.3/ Data Modelling and Integration: Design and implement effective data models and integration strategies to support business requirements and analytical needs.4/ Azure Services Integration: Integrate Azure Data Lake with other Azure services, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, to create comprehensive data processing workflows.5/ Performance Optimization: Optimize data storage, retrieval, and processing for maximum performance and efficiency within the Azure Data Lake ecosystem.6/ Data Security and Governance: Implement robust data security measures, including role-based access control (RBAC), encryption, and compliance with data governance policies.7/ Collaboration: Collaborate with cross-functional teams, data analysts, and business stakeholders to understand requirements and deliver effective data solutions.8/ Monitoring and Maintenance: Establish monitoring mechanisms and perform routine maintenance tasks to ensure the health and reliability of the Azure Data Lake environment.9/ Documentation: Create and maintain comprehensive documentation for data processes, architecture, and solutions within the Azure environment.10/ Mentorship: Provide mentorship and guidance to junior members of the data engineering team, fostering a culture of continuous learning.Requirements:A/ Azure Expertise: Proven experience in designing and implementing data solutions using Azure Data Lake Storage and related Azure services.B/ Technical Skills: Proficient in data modeling, ETL processes, and programming languages (e.g., Python, C#) within the Azure ecosystem.C/ Big Data Technologies: Experience with Big Data technologies such as Apache Spark and Hadoop within the Azure environment.D/ Problem Solving: Strong analytical and problem-solving skills, with the ability to address complex data engineering challenges in the Azure Data Lake context.E/ Communication Skills: Excellent communication and collaboration skills, with the ability to convey technical concepts to non-technical stakeholders.F/ Leadership: Proven leadership experience in guiding and mentoring a team of data engineers in an Azure-centric environment.
Job Title
Azure Data Lake Senior Engineer