Azure Data Operations Manager
Whisk Software Private Limited
Location
Gurgaon | India
Job description
Role : Data Operations Manager SRE
Experience : 10+ Years
Required skills: Azure Data Factory, Azure Data bricks, Azure DevOps, Azure Data Lake storage, SQL and Synapse data warehouse,
Job Location : Hyderabad
Role & responsibilities Lead and sustain a high-performance team that has skills to support production operations.
Build deep knowledge of the business and understand the end-to-end customer journey.
Partner with leaders across the functions to improve the design, visibility, availability, scalability, and performance of services.
Efficiently automate manual processes, deep dive into incidents, and facilitate blameless post mortems.
Improve alert management, decision making, analysis, error budgeting, and various optimization techniques by measuring data using standardized telemetry.
Build methodologies for tracking reliability and performance issues to give teams an insight on areas of improvement to ensure customer satisfaction and increase product quality.
Evaluate open-source and vendor products, create a proof of concepts, and migrate applications to the external cloud.
Adhere to crucial company controls that are necessary to meet internal or external audit requirements.
Contribute to the account and practice growth by working with client partners in identifying new opportunities and resource requirements.
Work with the HR team to attract and retain the right talent and timely fulfilment of resource needs.
Exhibit inspirational leadership and build a talented, cohesive, result-oriented, and healthy team environment.
Drive the governance calls with the technical customers and stakeholders
Build value-proposition presentations, case studies, and accelerators to assist the Sales team during the pre-sales cycle to address all facets of Managed Services.
Skills and Experience 10+ years of experience in software development, technical operations, and running large-scale applications.
At least 5 years of management experience is required.
5+ years of experience in running shift-based support teams.
5+ years of experience in developing or supporting Azure Data factory, Azure Databricks, Azure DevOps, Azure Data Lake storage (ADLS) and Synapse data warehouse, Azure Cosmos dB, Big Data
Any experience in data virtualization products like Denodo is desirable
Must have a good understanding of container platforms like Docker and Kubernetes.
Hands-on experience in working with high-volume, mission-critical applications, and build messaging and or event-driven architectures.
Expertise in providing engineering solutions for gathering or publishing data and event collection across the distributed architectures, automation, monitoring, intelligent alerting, and self-healing.
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