Practice SME- Data Engineering AWS/Azure
2 weeks ago
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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