Azure Data Engineer

Role & responsibilities

• Assist in 

  data collection, cleansing, and preparation

   from various sources.
• Support 

  basic data modelling and documentation

   efforts.
• Develop and maintain 

  simple data pipelines

   using tools like 

  Azure Data Factory (ADF)

  .
• Write and optimize queries using 

  SQL

  .
• Use 

  Python or PySpark scripts

   to perform data transformations.
• Perform 

  data validation and quality checks

   to ensure accuracy.
• Collaborate with senior analysts, engineers, and business teams to gather data requirements and support reporting needs.
• Contribute to dashboards, reports, and ad-hoc data analysis as needed.
• Bachelor's degree in 

  Computer Science, Information Technology

  , or a related field.

• 4 to 8 years

   of hands-on experience in 

  data analysis, ETL, or data engineering

   projects.
• Basic to intermediate knowledge of 

  SQL

   and 

  Python

  .
• Exposure to 

  Azure Data Factory

   or any cloud-based data integration tool is a plus.
• Understanding of 

  relational databases (RDBMS)

   like SQL Server or PostgreSQL.
• Familiarity with version control tools like 

  Git

  .
• Good analytical and communication skills.
• Willingness to learn and grow in a fast-paced team environment.

Preferred candidate profile

• Exposure to 

  Azure, AWS

  , or 

  Google Cloud Platform

  .
• Basic understanding of 

  data modelling

   and 

  data warehousing

   concepts.
• Interest in 

  CI/CD

   and automation practices for data workflows.