Lead Azure Data Engineer

Position - Lead Data Engineer

Work Location – Pune/ Hyderabad / Gurgaon / Hybrid

Experience - 9+ Years

Must have Skills:

• Minimum 5+ years on Azure cloud services.
• Proficiency in using Azure Synapse, Azure Storage, and Azure Data Factory for building data solutions.
• Strong understanding of metadata-driven approaches and data governance principles.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills, with the ability to effectively interact with stakeholders at all levels.
• Experience with agile development methodologies and DevOps practices is a plus.
• Programming experience with Python, PySpark, Shell scripting, and SQL is mandatory.

Good to Have:

• Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect are highly desirable.

Role & Responsibilities:

• Designing and implementing data engineering solutions using Azure services such as Synapse, Azure Storage, and Data Factory
• Developing and maintaining data pipelines to efficiently extract, transform, and load data from various sources.
• Implementing metadata-driven approaches to automate and optimize data workflows.
• Collaborating with cross-functional teams to gather requirements and define data engineering architectures.
• Ensuring data quality and reliability through rigorous testing and validation processes.
• Monitoring data pipelines and performance metrics to identify and address issues proactively.
• Staying updated on emerging trends and best practices in data engineering and Azure technologies.
• Providing guidance and mentorship to junior team members to foster professional growth and development.