Lead Engineer: Big Data

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Lead Engineer: Big Data

Fractal Analytics

Mumbai INR 15 - 20 LPA Experience : 10 - 14 YRS. Openings: 1

Details:

Position of Engineering Project Manager for AI/Analytics Engineering will be expected to lead and manage the technology projects across multiple client AI/BigData engagements. This will include developing deep client relationships, and managing a team of technology professionals to deliver insights at scale to our clients. The Engineering Project Manager will be expected to build a strong personal & Fractal brand.

Experience

10+ years of consulting and implementation experience in designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Min. Qualification:

  • Preferably M.S./M.Tech. degree in Computer Science or related field
  • Knowledge of variety and advanced architecture, tools and concepts across all layers of the modern distributed technology stack (Hadoop, Spark, Kafka, Cassandra, MongoDB and similar)
  • Knowledge and experience in cloud architectures and cloud tools (Azure/GCP/AWS)
  • Knowledge and experience of deploying and maintaining large scale advanced systems in production environments
  • Ability to independently manage client engagements from start to finish, delivering actionable insight within established timelines and budget.
  • Demonstrated ability in driving business impact through the application of technology and data science. Understanding and leveraging the connection between data structures, analytical methods, and business applications.
  • Experience working in a consultative capacity (internal or external) and across the sales-to-project closure process.
  • Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required.
  • Strong organizational awareness and the ability to work effectively at multiple levels within an organization. Equally comfortable in discussing technical/analytical details with technical thought leaders as explaining technical subject matter with a non-technical audience, in particular, high-level executives.
  • Outstanding verbal and written communication skills & must have excellent project management skills and have experience managing multiple work streams and projects at one time.
  • Building – and, when necessary, rebuilding -- and leading high performance teams. Proven track record of identifying and developing technology talent and leading a team of high-performance personnel.

Skills Required:

Hadoop, Spark, Kafka, MongoDB, Azure/GCP/AWS

Roles:

Execution Excellence

  • Drive excellent project management required to deliver complex projects, including effort/time estimation, building detailed WBS, managing critical path, and using PM tools and platforms
  • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
  • Define Technology/BigData strategy and roadmap for client accounts, and guides implementation of that strategy within projects
  • Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
  • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
  • Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.


Technical Expertise

  • Define the end to end solution architecture for large scale technology projects
  • Deep technical expertise in distributed processing, real-time and scalable systems
  • Deep expertise in building large scalable production systems
  • Solve business problems using technology; apply first principles to bring technology solutions for business problems


Executive Presence

  • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
  • Communicate with impact – presents point of view clearly, is prescriptive in recommendations & defends points of view with the right set of reasons


People Leadership

  • Build high performing and collaborative teams – Has clear followership and actively owns the team’s career growth & performance.
  • Define and mentor technology roles needed across client teams and within larger organization


Business Acumen

  • Build business case for technological investments to be made for future needs and to remain competitive
  • Ensure that billing and utilization of team members is maximized throughout the year

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