Azure Data Solutions Architect

5 days ago

Atlanta, Georgia, United States TechnoGen Full time
Data Engineering Role at TechnoGen

As a Data Engineer at TechnoGen, you will be responsible for designing, implementing, and managing data solutions on the Azure platform. This involves creating data pipelines that ingest data from various sources, transform and process it, and store it in the most suitable data storage solutions.

Data Ingestion and Integration
Data ingestion and integration are critical components of data engineering. You will need to ingest data from databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.

Data Transformation and Processing
Data transformation and processing are essential tasks for data engineers. You will need to perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.

Data Storage and Management
Azure provides various data storage options, and as a Data Engineer, you will need to select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.

Data Warehousing
Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.

Data Modeling and Analysis
Data Engineers may collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.

Real-time Data Processing
Azure Stream Analytics is a platform that enables real-time processing of streaming data from sources like IoT devices, social media feeds, or log files. As a Data Engineer, you may configure and optimize streaming pipelines to extract insights from live data streams.

Data Governance and Security
Azure Data Engineers play a crucial role in ensuring data governance and security practices are implemented. They set up data access controls, implement encryption, monitor data quality, and establish data retention policies.

DevOps and Automation
Automating data pipelines, monitoring data processes, and managing deployments are important tasks for Azure Data Engineers. They may use tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery.

This role requires strong technical skills, attention to detail, and excellent problem-solving abilities. If you are passionate about data engineering and want to work with a talented team, we encourage you to apply for this position.

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