Publicis Sapient

Manager Data Engineer

As Manager, Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing GCP/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 with 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 GCP/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.

Your Skills & Experience :

- Overall 9+ years of IT experience with 5+ years in Data related technologies, and expertise of 2+years in data related GCP/Azure Cloud services and delivered at least 1 project as an architect.

- Mandatory to have knowledge of Big Data Architecture Patterns and experience in delivery of end to end Big data solutions on GCP/Azure Cloud.

- Expert in programming languages like Java/ Scala/Python

- Expert in at least one distributed data processing frameworks : like Spark (Core, Streaming , SQL), Storm or Flink etc.

- Expert in Hadoop eco-system with GCP/Azure cloud distribution and worked at least on one or more big data ingestion tools (Sqoop, Flume, NiFI etc), distributed messaging and ingestion frameworks (Kafka,Pulsar, Pub/Sub etc) and good to know traditional tools like Informatica, Talend et

- Should have worked on any of NoSQL solutions like Mongo DB, Cassandra, HBase etc or Cloud based NoSQL offerings like DynamoDB , Big Table etc.

- Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and kubernetes engine would be an added advantage.

Set Yourself Apart With :

- Certification on GCP/Azure cloud platform or big data technologies.

- Strong analytical and problem-solving skills.

- Excellent understanding of data technologies landscape / ecosystem.

Benefits of Working Here :

- Gender-Neutral Policy

- 18 paid holidays throughout the year.

- Generous parental leave and new parent transition program

- Flexible work arrangements

- Employee Assistance Programs to help you in wellness and well being

A Tip from the Hiring Manager :

Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work.

Company Description :

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 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.