All Lines Technology is searching for an Azure Data Engineer in Pittsburgh. The Azure Data Engineer will be responsible for designing, developing, and implementing data solutions on our client’s Azure Cloud platform. They will play a crucial role in architecting and building scalable and high-performance data pipelines, ensuring the efficient extraction, transformation, and loading of data from various sources into our client’s Azure enterprise cloud data storage solutions. 
Overall, the Azure Data Engineer will require strong data engineering and database architecture skills, proficiency in programming languages, and deep understanding of Azure data services to design, develop, and implement robust and scalable data solutions that drive actionable insights and support informed decision-making within the organization.
Duties and Responsibilities:

• Automate data pipeline monitoring, error handling, and performance tuning to ensure data integrity and availability. However, other members of the Digital Data Solutions Team or external consultants may be called upon to assist in troubleshooting issues with the pipelines.
• Design, develop, and implement scalable and high-performance data solutions on the Azure or enterprise data platform. More specifically, architect data pipelines and ETL processes to extract, transform, and load data from various sources into Azure data storage solutions.
• Optimize data storage and retrieval mechanisms to ensure the efficient processing of large datasets.
• Develop and maintain data models and schemas to support data analysis and reporting requirements.
•  Implement data security and privacy measures to protect sensitive data.
• Develop and maintain data ingestion processes to acquire data from various sources, including APIs, databases, and streaming platforms.
• Implement data quality checks and validation procedures to ensure the accuracy and integrity of data.
• Design and implement data transformation and enrichment processes using Azure Data Factory, Azure Databricks, or other relevant tools.
• Document technical design, deployment processes, and best practices for data engineering solutions.
• Implement data partitioning, indexing, and optimization techniques to improve query performance.
• Collaborate with data scientists and analysts to operationalize and deploy machine learning models on Azure.
• Configure and manage data storage options including Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Data Warehouse
• Collaborate with DevOps teams to deploy and manage data engineering solutions in Azure.

Required Education/Experience:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Azure certifications, such as Microsoft Certified: Enterprise Data Engineer Associate, are a plus.
• Preferred hands-on experience with Azure data services, including Azure Data Lake Storage, Azure SQL Database, Azure Data Factory, and Azure Databricks, Azure Synapse Data Warehouse.
• Strong experience in data engineering and architecture, with a focus on Azure cloud technologies.
• Proficiency in programming languages such as Python, SQL, and PowerShell.
• Knowledge of data integration techniques and tools, such as ETL/ELT processes, data pipelines, and data warehousing concepts.
• Familiarity with data modeling and schema design principles.
• Understanding of data security and privacy regulations, including GDPR and CCPA.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.