Azure Data Engineer

Company Overview

Company details are not specified.

Job Summary

The Azure Data Engineer is responsible for designing, developing, and maintaining data solutions on the Azure platform. This role involves working closely with stakeholders to understand their data needs and transforming them into scalable and efficient data pipelines that support analytics and business intelligence initiatives.

Responsibilities

• Design and implement data solutions using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure SQL Database.
• Develop and maintain ETL (Extract, Transform, Load) processes to ensure high-quality data integration.
• Collaborate with data scientists and analysts to optimize data usage for analytics and reporting.
• Monitor and troubleshoot data pipeline performance issues to ensure timely data delivery.
• Implement data governance and security measures in line with best practices.
• Document data architecture and processes to facilitate knowledge sharing within the team.

Qualifications

• A minimum of 4 years experience in data engineering, specifically with Azure technologies.
• Proficiency in programming languages such as Python, SQL, or Java.
• Strong understanding of data warehousing concepts and data modeling techniques.
• Familiarity with Azure services including Azure Synapse Analytics, Azure Blob Storage, and Azure Functions.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Bachelor’s degree in Computer Science, Information Technology, or related field.

Preferred Skills

• Experience with big data technologies such as Apache Spark or Hadoop.
• Knowledge of data visualization tools like Power BI or Tableau.
• Familiarity with machine learning frameworks and applications is a plus.

Experience

• At least 4 years of relevant experience as a data engineer, with hands-on experience in Azure data solutions.

Environment

The typical work setting and location details are not specified.

Salary

Salary details are not specified.

Growth Opportunities

Potential career advancement opportunities are not specified.

Benefits

Offered benefits details are not specified.