Key Responsibilities:
• Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using Azure Data Factory, Databricks, and other Azure services.
• Data Integration: Integrate structured and unstructured data from diverse sources into Azure-based data platforms.
• Data Modeling: Develop and maintain data models to support analytical and reporting requirements.
• Optimization: Monitor and optimize data pipelines for performance, scalability, and cost-efficiency.
• Database Management: Administer and manage Azure Synapse Analytics, Azure SQL Database, and other database solutions.
• ETL Processes: Design and implement Extract, Transform, Load (ETL) processes to transform raw data into actionable insights.
• Collaboration: Work closely with data analysts, business teams, and other stakeholders to understand data needs and deliver effective solutions.
• Security and Compliance: Ensure data solutions align with organizational security policies and industry regulations.
• Documentation: Create and maintain comprehensive documentation for data workflows, architectures, and processes.
Qualifications:
Technical Skills:
• Strong proficiency in Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Storage.
• Experience with big data technologies such as Spark and Hadoop.
• Proficiency in SQL for querying and managing relational databases.
• Familiarity with NoSQL databases, such as Cosmos DB or MongoDB.
• Strong understanding of data integration and transformation using ETL/ELT methodologies.
• Hands-on experience with programming languages such as Python, Scala, or Java.
• Knowledge of data visualization tools like Power BI is a plus.
• Experience with Data Lake architecture and design.
• Understanding of security and governance in Azure, including RBAC and Azure Key Vault.
Experience:
• 3 5 years of experience in data engineering or a similar role.
• Experience working with large datasets and optimizing data pipelines in cloud environments.
• Hands-on experience in implementing end-to-end data solutions on Azure.
Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication abilities.
• Team player with the ability to work collaboratively and independently.
Education:
Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field (or equivalent experience).
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