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Lead/Senior Azure Data Engineer

4 months ago

PuneHyderabadGurgaonGurugram, IN Huquo Full time

About Clairvoyant :

Clairvoyant is a global technology consulting and services company founded in 2012, headquartered in Chandler, US, and has delivery centers across the globe. We help organizations maximize the value of data by providing data engineering, analytics, machine learning, and user experience consulting and development projects to multiple Fortune 500 clients. Clairvoyant clients rely on its deep vertical knowledge and best-in-class services to drive revenue growth, boost operational efficiencies, and manage risk and compliance. Our team of experts with direct industry experience in data engineering, analytics, machine learning, and user experience has your back every step of the way.

Position : Lead / Senior Data Engineer

Work Location : Pune/ Hyderabad / Gurgaon / Hybrid

Experience : 9+ Years

Must have Skills :

- Minimum 5Y+ 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.

Education :

Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience

Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow

(ref:hirist.tech)