Lead Azure Data Engineer

My client is driven by data. Our commitment to harnessing the power of data to drive innovation, make informed decisions, and deliver exceptional results sets us apart. We're seeking a Lead Data Engineer to join our dynamic team and lead our data-driven initiatives. If you're passionate about data, ML, AI, and making an impact, we want you on board.

Position Overview:

As a Lead Data Engineer, you'll be at the forefront of our data architecture and engineering efforts. You'll have the opportunity to work with cutting-edge technologies, lead a talented team, and drive the development of our data platform. If you have expertise in Azure, Python, ETL, BI, and DevOps, we want to talk to you.

Key Responsibilities:

• Lead the design, development, and maintenance of our data infrastructure and architecture in Azure.
• Manage a team of data engineers and collaborate with cross-functional teams to gather and analyze data requirements.
• Develop and optimize ETL processes to ensure data accuracy and integrity.
• Leverage Python for data transformation, analysis, and automation.
• Implement and manage Business Intelligence (BI) solutions to provide data-driven insights to stakeholders.
• Drive best practices in DevOps to ensure the reliability and scalability of our data systems.
• Stay current with emerging data engineering technologies and industry trends.

Qualifications:

• Proven experience as a Data Engineer and mentoring experience.
• Strong expertise in Azure data services and infrastructure.
• Proficiency in Python for data manipulation and automation.
• Experience with ETL processes and tools.
• Knowledge of Business Intelligence (BI) tools.
• Familiarity with DevOps practices for data engineering.
• Strong problem-solving and analytical skills.
• Excellent communication and team leadership abilities.

Benefits:

• Competitive salary and performance-based bonuses.
• Professional development opportunities and ongoing training.
• A collaborative and innovative work environment.
• Opportunity to make a significant impact on our data-driven initiatives.