Data Engineering Manager
Job Summary
Job Description
15 skills required
Job Details
Job Responsibilities:
- Planning, design and execution of SOA backend platforms. Mostly around REST based Web
- Build frameworks using JAVA (Spark,Spring, ORM)
- High level and Low level design of the highly scalable components
- Track defects and works with business owners and users to triage bugs and manage a backlog
- Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security
- Build/Deployments/DevOps-related work on AWS
- Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts
- Be the key technical advisor to define the roadmap of project
- Lead teams of talented engineers and coach them to their full potential.
- As you will be managing the analytics team, you are required to manage the dynamics of the requirements, prioritization, and deliveries
- Give growth charter to the team members and conduct 1-1 / feedback/appraisal
- Lead by example in software development best practices, agile development, and cross-team collaboration.
- Bring in and influence engineering optimizations
- Work with Product Managers and partners to define business roadmaps.
- Work with architects and fellow engineers to define technical architectures and execution plans.
- Execute business and technology roadmaps by collaborating with other engineering teams.
- Be accountable for the outcomes, measured by appropriate metrics
- Drive product vision and strategy
Requirements:
- 7+ years’ Experience preferred.B.Tech/M.Tech in Computer Science or related fields.
- 4+ years of people management experience.
- 2+ years of recent full-stack development experience.
- Extensive experience running teams in an agile environment.
- Deep experience with the full software development life cycle.
- AWS Aurora, Kafka, and MWAA experience required
- Proficient with mainstream fullstack technologies such as Java, Spring boot, RDBMS, NoSQL, ElasticSearch, Node.js, JS frameworks (React, Vue.js etc)
- Strong experience with AWS cloud technologies.
- Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions
- Organization skills – demonstrated ability to work independently to make complex investigations
- Working experience on asynchronous messaging systems like Kafka.
- Strong ability in architectural design and discussion.
- Proven ability to manage multiple, competing for priorities simultaneously.
- Excellent communication skills to convey technical insights to a non-technical audience
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About The Company
Backed by the world’s top AI leaders and trusted by the largest global brands, Netomi is the leader in customer experience AI for enterprises.
Netomi provides multimodal and omnichannel Sanctioned Generative AI, ensuring brand-safe conversations at scale with built-in AI governance controls for accuracy, security, and data privacy.
Our innovative AI deployment guarantees cost savings, operational efficiencies, and boosts in customer satisfaction, loyalty, revenue, and profitability.
Netomi’s no-code solution deploys in weeks, scales automatically, and offers comprehensive tools for non-technical users to easily manage CX AI at scale. This results in a lower total cost of ownership, faster time to market, and reduced reliance on developer resources.
Founded in 2016, Netomi leverages the latest AI developments to enhance customer experience, empowering brands with high-quality automated support and tools to augment human agent teams.
In a rapidly evolving AI landscape, Netomi makes it easy for brands to meet rising customer expectations and deliver exceptional service.
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