Azure Data Engineers

7 days ago

Hyderabad City Taluka, Pakistan GSPANN Technologies, Inc Full time

GSPANN is hiring Azure Data Engineers with expertise in Site Reliability Engineering (SRE) to optimize and automate large-scale data applications. The role involves ensuring system reliability and performance using Azure Data Factory, Databricks, Cosmos DB, and Power BI.

Role and Responsibilities

  • Develop a deep understanding of the business and analyze the end-to-end customer journey.
  • Collaborate with stakeholders to enhance the design, visibility, availability, scalability, and performance of services.
  • Work closely with Data Engineering teams to implement necessary improvements and enhancements.
  • Identify and escalate potential production-impacting issues proactively in collaboration with Engineering teams.
  • Automate manual processes efficiently, conduct in-depth incident analysis, and drive blameless postmortems.
  • Optimize alert management, decision-making, and performance analysis by leveraging standardized telemetry data.
  • Assist in deployment, post-deployment monitoring, and dashboard/alert creation to track system changes effectively.
  • Ensure adherence to critical company controls required for internal and external audit compliance.
  • Develop value-proposition presentations, case studies, and accelerators to drive business impact.

Skills And Experience

  • 8+ years of experience in software development, technical operations, and managing large-scale applications.
  • 7+ years of experience in developing or supporting Azure Data Factory (API & API Management), Azure Databricks, Azure DevOps, Azure Data Lake Storage, SQL, Synapse Data Warehouse, and Azure Cosmos DB.
  • 5+ years of hands-on experience in Data Engineering and coding.
  • Experience in data virtualization products like Denodo is desirable.
  • Holding an Azure Data Engineer or Solutions Architect certification is a plus.
  • Experience with container platforms such as Docker and Kubernetes, assessing applications/platforms periodically for architectural improvements.
  • Apply strong troubleshooting skills to quickly identify and resolve application issues with minimal business impact.
  • Handle high-volume, mission-critical applications with hands-on experience.
  • Utilize expertise in IT tools, techniques, systems, and solutions to drive operational excellence.
  • Lead triage calls with multiple technical stakeholders and communicate effectively across teams.
  • Solve cross-functional issues creatively, adapting to changing priorities.
  • Manage escalations effectively, taking full ownership of critical issues to ensure timely resolution.
  • Basic knowledge of Data Science and Machine Learning (DSML), Artificial Intelligence/Machine Learning (AI/ML), and Machine Learning Operations (ML Ops).
  • Familiarity with Azure Event Hub, IoT Hub, and Azure Application Insights.
  • Knowledge of the IT Infrastructure Library (ITIL) framework and IT Service Management (ITSM) tools.
  • Understanding of SAP HANA and willingness to work in rotational shifts.
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