Description

Architect and build cloud-native data solutions, managing ETL/ELT processes and mentoring data engineers.

This role is on-site.

Responsibilities

• Architect and build data lakes and warehousing solutions using Azure services.
• Develop and optimize data ingestion and transformation pipelines using Databricks and Synapse notebooks.
• Implement and manage ETL/ELT processes across various data domains.
• Manage and mentor a team of data engineers while communicating complex concepts to stakeholders.
• Implement CI/CD pipelines and utilize Git for version control.

Required Skills

• 12+ years of overall IT experience, with 5+ years focused on Data Analytics projects.
• Proven experience with Azure Databricks notebook development and Delta Lake.
• Solid understanding of Azure Data Lake, Azure Synapse, and Azure Data Factory Fabric.
• Expertise in ETL/ELT processes, data warehousing, and data lake construction.
• Proficiency in SQL and familiarity with NoSQL databases.
• Experience implementing CI/CD pipelines and utilizing Git for version control.
• Demonstrated ability to explain technical concepts clearly to non-technical stakeholders.

Preferred Skills

• Experience with Power BI for dashboarding and reporting.
• Familiarity with Spark Streaming for real-time data stream processing.

Key Skills

Education

Any Gradute