Azure Data Engineer

Azure Data Engineer

Position Overview

Azure Data Engineer

Responsibilities

• Design, develop, and maintain data pipelines using

  Azure Data Factory

  .
• Manage and optimize data storage using

  Azure Data Lake Gen 2

  .
• Build and process large-scale data solutions with

  Azure Databricks

  and

  Apache Spark

  .
• Create interactive reports and dashboards in

  Power BI

  for business insights.
• Collaborate with cross-functional IT and business teams to translate requirements into data solutions.
• Ensure data quality, security, and compliance in line with organizational standards.

Core Skills Required

• Azure Data Factory

  : Experience in building and managing data pipelines.

• Azure Data Lake Gen 2

  : Proficient in data storage and management within Azure's data lake environment.

• Azure Databricks / Apache Spark

  : Hands-on skill with distributed data processing, transformations, and analytics.

• Power BI

  : Expertise in data visualization and reporting.

Nice-to-Have Skills

• Basic SQL Performance Tuning

  : Ability to write and optimize SQL queries.

• Data Governance & Unity Catalog

  : Understanding of data governance principles and experience with Unity Catalog for data management.

• Certification

  : Microsoft DP-203 (Azure Data Engineer Associate) certification.

• CI/CD Pipelines

  : Experience implementing CI/CD pipelines for Azure Data Factory or Databricks projects.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
• 5+ years of professional experience with Azure data services.
• Strong analytical and problem-solving skills.
• Effective communication and team collaboration abilities.

Preferred Traits

• Continuous learner, staying updated with Azure and data engineering advancements.
• Experience working in Agile environments.
• Passion for optimizing data workflows and enabling data-driven decisions.

If you are enthusiastic about working with advanced Azure data services and enabling impactful analytics, we encourage you to apply!