Manager-CTO

Overview

Responsibilities

• Design, develop, and implement data pipelines and ETL/ELT processes using Azure Data Factory, Azure Databricks, and other relevant Azure services.
• Develop and maintain data lakes and data warehouses on Azure, including Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
• Build and optimize data models for data warehousing, data marts, and data lakes.
• Develop and implement data quality checks and data governance processes.
• Troubleshoot and resolve data-related issues.
• Collaborate with data scientists and analysts to support data exploration and analysis.
• Stay current with the latest advancements in cloud computing and data engineering technologies.
• Participate in all phases of the software development lifecycle, from requirements gathering to deployment and maintenance
  

Qualifications

• 6+ years of experience in data engineering, with at least 3 years of experience working with Azure data services.
• Strong proficiency in SQL, Python, and other relevant programming languages.
• Experience with data warehousing and data lake architectures.
• Experience with ETL/ELT tools and technologies, such as Azure Data Factory, Azure Databricks, and Apache Spark.
• Experience with data modeling and data warehousing concepts.
• Experience with data quality and data governance best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Experience with Agile development methodologies.
• Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred).
• Relevant Azure certifications (e.g., Azure Data Engineer Associate) are a plus