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.
As Manager, of Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing Cloud & Non-Cloud based big data solutions for clients. Your role will be focused on delivering high-quality solutions by independently driving design discussions related to below aspects:
The role requires a hands-on technologist with expertise in Big Data solution architecture and with a strong programming background in Java / Scala / Python, should have experience in creating Data Ingestion pipelines for streaming and batch datasets, creating ETL/ELT data pipelines using distributed computing frameworks like Spark, Strom, Flink, etc, orchestrating data pipelines, should have experience in setting up secure big data platform. You are also required to have hands-on knowledge of at least one of the AWS, GCP, and Azure cloud platforms.
Role & Responsibilities:
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 either on-premise or on Cloud. Manage functional & non-functional 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
Excellent understanding of data technologies landscape/ecosystem.
Well-versed with the pros and cons of various database technologies like Relational, NoSQL, MPP, and Columnar databases
Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and Kubernetes engine would be an added advantage.
Well-versed in in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models
Exposure to data governance, catalog, lineage, and associated tools would be an added advantage.
Well-versed with Software as a service, Platform as a service, and Infrastructure as a service concept and can drive clients to a decisions
Thought Leadership – blogs, keynote sessions, POV/POC, hackathon
Certification in either one of the cloud platforms or big data technologies
Maternity leave coaching
On-ramping/Off-ramping parental leave
Backup child care
Short term disability
Welcome to a new breed of consulting.
You want to do work that matters. We want to make that possible. We’re a consulting partner helping the world’s most established brands evolve for a more digital future.
How? By combining strategy, experience design, and engineering, to build products and innovate game-changing services that allow our clients to thrive.
This cross-functional approach ...