Lead Azure Data Engineer
2 weeks ago
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.
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