| Azure DATA ENGINEER at Remote, Remote, USA |
| Email: [email protected] |
| From: saisekhar, mavinsys [email protected] Reply to: [email protected] JOB Title: Azure DATA ENGINEER Location: Remote Client- Humana Duration: Long Term Interviews : 2 rounds Client Interview - No Start Date : August 2024 Responsibilities: Technical Leadership: Lead a team of data engineers in designing, developing, and maintaining scalable data solutions on Azure cloud platform. Architecture Design: Design robust data architectures and solutions utilizing Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Blob Storage. Data Pipelines: Oversee the development and implementation of ETL processes and data pipelines to ensure efficient data extraction, transformation, and loading from various sources. Data Modelling: Guide the team in designing and optimizing data models for performance and scalability within data warehousing solutions (e.g., Azure SQL Data Warehouse, Snowflake). Quality Assurance: Ensure data quality and integrity throughout all stages of data pipelines and workflows. Technical Guidance: Provide technical mentorship, guidance, and support to team members, fostering a collaborative and innovative team environment. Stakeholder Management: Collaborate closely with stakeholders, including data scientists, analysts, and business leaders, to understand requirements and deliver solutions that meet business needs. Documentation and Best Practices: Establish and enforce best practices for development, documentation, and maintenance of data solutions and processes. Qualifications: Technical Skills: Expertise in Azure cloud services (Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Blob Storage, etc.) and Python programming for data manipulation and ETL processes. Leadership Experience: Proven experience leading technical teams in designing and implementing complex data solutions. Data Warehousing: Deep understanding of data warehousing principles and experience with data modelling, schema design, and optimization. Problem-Solving Abilities: Strong analytical and problem-solving skills to troubleshoot complex data issues and optimize performance. Communication Skills: Excellent verbal and written communication skills to effectively communicate technical concepts to both technical and non-technical stakeholders. Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Previous experience as a technical lead or senior data engineer in a cloud-based environment is required. Certifications: Certifications in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate) or related technologies are desirable. Must Haves: Azure Data Factory (ADF), Azure Databricks, Azure SQL Database, Azure Blob Storage, Python, PySpark, Kafka. Keywords: Azure DATA ENGINEER [email protected] |
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| Tue Jul 16 23:35:00 UTC 2024 |