Practice SME- Data Engineering AWS/Azure

3 weeks ago

Bengaluru, India i4 Consulting: Reimagining HR Blueprints Full time

PDL/SME Responsibilities:


Technical Expertise:

  • Expertise in building big data pipelines with AWS or Azure Data Engineering services and good hands-on experience with Spark/PySpark, Scala/Python/Java, Data Modelling and Visualization.


Delivery Assurance:

  • Proposal review, solution/architecture review and efforts validation from delivery perspective.
  • Develop and implement engineering best practices, processes, and methodologies to improve efficiency, quality, and productivity.


Delivery Support:

  • Lead and resolve delivery escalations.
  • Provide technical guidance and support to engineering teams, assisting in problem-solving and decision-making processes.
  • Drive towards higher customer satisfaction.


Talent building:

  • Drive talent building for offerings and new-age skills.
  • Enable collaboration and knowledge sharing within the DPE tower / CPPE top accounts.
  • Evaluate and onboard new skills and frameworks to enhance development processes and capabilities.


Technical Excellence:

  • Incubate new and large projects for the initial period till start green
  • Provide Technical leadership for solution or product development, modernization & transformation for Engineering Modern Data Platforms and Data Product programs.


Qualifications and Skills:

  • Bachelor's or Master's degree in Engineering. Advanced degrees are highly desirable.
  • Good technical experience with Data Engineering, Data Platforms, Modern Data Platforms, and Data Product programs.
  • Proven experience in a leadership role, such as Engineering Director, Engineering Manager, or similar, with a track record of successfully leading and delivering complex projects.
  • Demonstrated experience in managing and mentoring engineering teams, fostering a collaborative and high-performing work environment.
  • Good understanding of software development methodologies, agile practices, and project management principles.
  • Excellent problem-solving and analytical skills, with the ability to make data-driven decisions.
  • Good communication and interpersonal skills.
  • Strategic mindset with the ability to align engineering efforts with business goals and objectives.
  • Proven ability to manage budgets, allocate resources effectively, and deliver projects on time and within budget.

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