Data Engineer

Key Responsibilities

• Work with Microsoft Azure Data technologies.

Requirements & Tech Stack

• Strong foundation in Python/PySpark and SQL.
• Hands-on experience in Azure Data Factory (ADF) and Databricks will be preferred for the experienced role.
• Good experience/fundamentals with Azure Data Factory (ADF).
• Strong understanding of SQL.
• Practical experience with Databricks - Python / PySpark.
• Good understanding of data engineering concepts.
• Strong communication and problem-solving skills.
• Ability to troubleshoot issues and work effectively within a team.

Good to Have

• Exposure to other Azure Data Services.
• Experience working on data pipelines, ETL/ELT processes, or data transformation projects.
• Experience working in an enterprise/cloud environment.

Qualifications

• B.E./B.tech or equivalent degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
• Candidates with a genuine interest in Data Engineering and Cloud Technologies.
• Strong analytical and logical thinking.
• Quick learners with a willingness to develop their technical skills.
• Candidates who can communicate effectively and work collaboratively.