Staff Engineer, Big Data

<p>Must have Skills : Apache Spark, Azure Data Factory, Databricks,</p><p>Job Description : Lead Consultant - Azure Data Platform Engineering & Ops<br>You will be responsible for architecting, implementing, and managing robust data solutions on the Microsoft Azure platform.</p><h3>Responsibilities:</h3><ul><li>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.</li><li>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.</li><li>Data Engineering: Oversee the development of data pipelines, ETL/ELT processes, and data integrations, ensuring data quality, optimal performance, and adherence to best practices.</li><li>Platform Operations: Manage the day-to-day operation and maintenance of the Azure Data Platform, including monitoring, troubleshooting, and performance optimization.</li><li>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.</li><li>Data Security and Compliance, Capacity Planning and Scalability, Collaboration and Communication, Performance Monitoring and Optimization</li></ul><h3>Qualifications:</h3><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</li><li>Extensive experience in data engineering, data architecture, and cloud platform operations, with a focus on the Microsoft Azure ecosystem.</li><li>In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.</li><li>Proficiency in designing and optimizing data pipelines, ETL/ELT processes, and data integrations.</li><li>Strong understanding of data governance, security best practices, and compliance standards in a cloud environment.</li><li>Hands-on experience with automation, infrastructure as code (IaC), and DevOps principles.</li><li>Excellent leadership and team management skills, with a proven ability to guide and inspire technical teams.</li><li>Azure certifications such as Microsoft Certified: Azure Solutions Architect Expert or equivalent are highly desirable.</li></ul><p>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 are looking for great new colleagues.

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.

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!

Originally posted on Himalayas