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Manager Data Engineering DE - Big Data Azure
Manager Data Engineering DE - Big Data Azure-January 2024
Bangalore
Jan 1, 2026
ABOUT PUBLICIS SAPIENT
Publicis Sapient uses strategy, consulting, experience, engineering, and a culture of problem-solving creativity, to help our clients thrive.
10,000+ employees
Consulting, Technology
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About Manager Data Engineering DE - Big Data Azure

  Description

  As Manager, Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing Azure Cloud-based big data solutions for clients. Your role will be focused on delivering high-quality solutions by independently driving design discussions related to Data Ingestion, Transformation & Consumption, Data Storage and Computation Frameworks, Performance Optimizations, Infrastructure, Automation & Cloud Computing, and Data Governance & Security. The role requires a hands-on technologist with expertise in Big Data solution architecture and with a strong programming background in Java / Scala / Python.

  Your Impact:

  Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modeling, data processing, visualization, design, and implementation.Lead a team to deliver high quality big data technologies-based solutions on Azure Cloud. Manage functional & nonfunctional scope and quality.Help establish standard data practices like governance and address other non-functional issues like data security, privacy, and quality.Manage and provide technical leadership to a data program implementation based on the requirement using agile technologies.Participate in workshops with clients and align client stakeholders to optimal solutions.Consulting, Soft Skills, Thought Leadership, Mentorship etc.People management, contributing to hiring and capability building.

  Qualifications

  Gender Neutral Policy18 paid holidays throughout the yearGenerous parental leave and new parent transition programFlexible work arrangements Employee Assistance Programs to help you in wellness and well being

  Additional Information

  Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

  Company Description

  As Manager, Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing Azure Cloud-based big data solutions for clients. Your role will be focused on delivering high-quality solutions by independently driving design discussions related to Data Ingestion, Transformation & Consumption, Data Storage and Computation Frameworks, Performance Optimizations, Infrastructure, Automation & Cloud Computing, and Data Governance & Security. The role requires a hands-on technologist with expertise in Big Data solution architecture and with a strong programming background in Java / Scala / Python.

  Your Impact:

  Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modeling, data processing, visualization, design, and implementation.Lead a team to deliver high quality big data technologies-based solutions on Azure Cloud. Manage functional & nonfunctional scope and quality.Help establish standard data practices like governance and address other non-functional issues like data security, privacy, and quality.Manage and provide technical leadership to a data program implementation based on the requirement using agile technologies.Participate in workshops with clients and align client stakeholders to optimal solutions.Consulting, Soft Skills, Thought Leadership, Mentorship etc.People management, contributing to hiring and capability building.

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