Staff Engineer, Big Data

Reposted An Hour Ago
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Hiring Remotely in LK
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Lead and mentor a team of data engineers. Architect and manage data solutions on Azure. Oversee data integration and operations.
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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  • Extensive experience in data engineering, data architecture, and cloud operations
  • In-depth knowledge of Azure services
  • Proficiency in designing and optimizing data pipelines and ETL/ELT processes
  • Strong understanding of data governance and security best practices
  • Hands-on experience with automation, infrastructure as code, and DevOps principles
  • Excellent leadership and team management skills
  • Azure certifications are highly desirable

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

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The Company
HQ: Munich
19,994 Employees
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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