Azure Data Engineer
Azure Data Engineer
The average salary for Azure Data Engineer is $114,932 / year according to Glassdoor.com
There are no updated reports for Azure Data Engineer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Azure Data Engineer role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As an Azure Data Engineer, you will be responsible for designing and implementing data solutions on the Azure platform. You will need a strong understanding of data architecture and the ability to work with various data storage and processing technologies. Proficiency in SQL, ETL processes, and data modeling is crucial for this role. Additionally, knowledge of Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database is essential.
The Azure Data Engineer is a crucial role in any organization's data and analytics team. They are responsible for designing, building, and maintaining data solutions on the Azure platform. This includes tasks such as designing data models, developing data pipelines, and managing data storage and retrieval.
The most important skills for an Azure Data Engineer include:
- A strong understanding of data structures and algorithms
- Proficiency in programming languages such as Python, R, and SQL
- Experience with data storage and retrieval technologies such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure Cosmos DB
- Knowledge of data processing and analytics tools such as Azure Databricks, Azure HDInsight, and Azure Machine Learning
- Experience with cloud computing platforms such as Azure
As an Azure Data Engineer, you will be responsible for:
- Designing and building data solutions on the Azure platform
- Developing data pipelines to ingest, transform, and load data into Azure data stores
- Managing data storage and retrieval using Azure Data Lake Storage, Azure Synapse Analytics, and Azure Cosmos DB
- Processing and analyzing data using Azure Databricks, Azure HDInsight, and Azure Machine Learning
- Collaborating with business and technical stakeholders to understand data needs and requirements
- Providing support and troubleshooting for data solutions
If you have the skills and experience to be an Azure Data Engineer, you can find a rewarding career in this field. With the right training and certification, you can become a valuable asset to any organization's data and analytics team.
High-ROI Programs
Microsoft Certified: Azure Data Engineer Associate
The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.
Databricks Certified Data Engineer Associate
The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.
Google Certified Professional Data Engineer
The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.
AWS Certified Data Analytics — Specialty
The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
Data Engineer Career Track
This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.
Data Engineering with Microsoft Azure
You will acquire the skills to design data models, create data pipelines, and navigate large datasets on the Azure platform. Additionally, you will learn to build data warehouses, data lakes, and lakehouse architecture.
Data Engineering for Data Scientists
This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.
Microsoft Azure Databricks for Data Engineering
This specialization is designed for data engineers and developers who want to showcase their skills in implementing data solutions using Microsoft Azure data services and prepare for the exam.
Preparing for Google Cloud Data Engineer Professional Certificate
This specialization equips you with the necessary skills to further your career and offers training to prepare you for the certification exam.
Deep Learning Specialization
Genomic Data Science Specialization
IBM Data Engineering Professional Certificate
Become a Data Product Manager
MLOps with Azure
Data Engineer Career Path
This beginner-friendly skill track is perfect for learning Python, SQL, pandas, NumPy, and more through interactive lectures and exercises. You will build a job-ready portfolio and excel in your data engineering career.
Data Engineering, Big Data, and Machine Learning on GCP Specialization
This specialization covers TensorFlow, BigQuery, and Google Cloud Platform. You will learn Big Data capabilities, modernize Data Lakes, and build resilient streaming analytics systems on Google Cloud.
Data Streaming
Become a Data Architect
Become a Java Web Developer
Resource Stacks
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