Lead Data Engineer –Azure

1 day ago

Pune, India Admin Looks Full time

Urgently looking for highly experienced Lead Data Engineer with a proven track record in Azure data technologies and team leadership. The ideal candidate will have 12+ years of experience, including 7+ years of expertise in Azure Data Factory, Azure Databricks, Data Modeling, PySpark, SQL Queries, and Unity Catalog. This is a remote role requiring excellent leadership, technical, and problem-solving skills. Key Responsibilities Leadership: Lead and mentor a team of data engineers, ensuring project deliverables are met with high quality and on time. Architecture and Design: Design and implement scalable, secure, and efficient data solutions using Azure services. Development: Build, monitor, and optimize complex data pipelines and workflows using Azure Data Factory and Azure Databricks. Data Modeling: Design robust data models to support analytical and operational needs. Programming: Write and optimize SQL queries and utilize PySpark for large-scale data processing and transformation. Data Governance: Implement data security and governance frameworks using Unity Catalog and ensure compliance with organizational standards. Collaboration: Work closely with business stakeholders, data scientists, and analysts to understand requirements and translate them into technical solutions. Problem-Solving: Troubleshoot and resolve data-related issues to ensure seamless operations and data availability. Process Improvement: Advocate and implement best practices in data engineering, coding standards, and Agile methodologies. Qualifications and Skills Experience: 12+ years of professional experience in data engineering and analytics. 7+ years of hands-on expertise in Azure Data Factory, Azure Databricks, Data Modeling, PySpark, SQL Queries, and Unity Catalog. Leadership: Proven experience in leading and managing engineering teams, with the ability to inspire and guide team members effectively. Technical Expertise: Deep understanding of Azure cloud services and data ecosystems. Strong knowledge of ETL/ELT processes and big data architectures. Proficient in Python and SQL for data manipulation and analysis. Soft Skills: Excellent communication and collaboration abilities in a remote environment. Problem-solving mindset with a focus on innovation and continuous improvement. Ability to manage multiple priorities and meet tight deadlines. Preferred: Familiarity with Agile and DevOps practices. Interested candidates kindly share their updated profile at-

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