Senior Data Engineer

What will you do?

• Design and implement scalable data processing infrastructure and ETL pipelines on Azure, ensuring efficient and reliable data flow to support AI/ML models, analytics, reporting, and other data-driven applications.
• Establish and enforce robust data governance practices, ensuring the security, integrity, and availability of data across the platform.
• Continuously enhance your data engineering expertise, staying ahead of industry trends, and proactively sharing insights and best practices with the team to foster a culture of learning and innovation.

What kind of experience should you have?

• Strong hands-on experience with Azure cloud services, including Spark/Databricks, and a deep understanding of cloud-based data architectures.
• Minimum 5 years of experience as a Data Engineer
• Proficiency in Python and SQL, with a proven track record of building and optimizing complex ETL/ELT processes in Data Lakehouse environments.
• Experience with data mesh architecture is highly desirable, demonstrating your ability to work within decentralized data environments.
• A passion for continuous learning, coupled with the ability to communicate complex technical concepts to non-technical stakeholders.

Hiring process:

• HR Interview
• Technical Interview 
• Hiring Manager Interview
• Validation Interview