Staff Engineer, Big Data

Posted 19 Hours Ago
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Hiring Remotely in USA
Remote
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Lead Consultant - Azure Data Platform Engineering & Ops. Responsible for architecting, implementing, and managing robust data solutions on the Microsoft Azure platform.
Summary Generated by Built In

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Must have Skills : Apache Spark, Azure Data Factory, Databricks,

Job Description : Lead Consultant - Azure Data Platform Engineering & Ops
You will be responsible for architecting, implementing, and managing robust data solutions on the Microsoft Azure platform.

Responsibilities:

  • Technical Leadership: Lead and mentor a team of data engineers and operations specialists, providing technical guidance, fostering skill development, and promoting a culture of excellence.
  • Azure Data Architecture: Collaborate with stakeholders to design scalable and efficient data architectures using Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.
  • Data Engineering: Oversee the development of data pipelines, ETL/ELT processes, and data integrations, ensuring data quality, optimal performance, and adherence to best practices.
  • Platform Operations: Manage the day-to-day operation and maintenance of the Azure Data Platform, including monitoring, troubleshooting, and performance optimization.
  • Automation and DevOps: Implement automation strategies and DevOps practices to streamline deployment, monitoring, and management of data solutions, ensuring efficient operations and rapid response to issues.
  • Data Security and Compliance, Capacity Planning and Scalability, Collaboration and Communication, Performance Monitoring and Optimization

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Extensive experience in data engineering, data architecture, and cloud platform operations, with a focus on the Microsoft Azure ecosystem.
  • In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.
  • Proficiency in designing and optimizing data pipelines, ETL/ELT processes, and data integrations.
  • Strong understanding of data governance, security best practices, and compliance standards in a cloud environment.
  • Hands-on experience with automation, infrastructure as code (IaC), and DevOps principles.
  • Excellent leadership and team management skills, with a proven ability to guide and inspire technical teams.
  • Azure certifications such as Microsoft Certified: Azure Solutions Architect Expert or equivalent are highly desirable.

Top Skills

Spark
Azure Data Factory
Databricks
The Company
19,994 Employees
On-site Workplace
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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