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Staff Engineer, Big Data

Nagarro

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What data roles keep asking for: AWS (25%), SQL (23%), Python (22%), Machine learning (12%) — counted across their open postings here.

Azure jobs · Databricks jobs · ETL jobs · SQL jobs

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Counted across 14 company job boards, updated as roles open and close.

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Questions you are likely to be asked

  1. Why do you want to join Nagarro?
  2. What is your experience with Azure? Tell me one thing you learned the hard way.
  3. Tell me about a hard bug you tracked down. How did you find the cause?
  4. How do you decide what to test, and what does good code review look like to you?
  5. Describe a time a deadline forced a trade-off in quality. What did you choose and why?

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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.

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Listed on smartrecruiters · posted 2023-08-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nagarro, not by us.