Data engineering Manager
Publicis Sapient · Posted Sep 21
Enterprise AI platforms, digital business transformation, software engineering, and strategy consulting services
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About the role
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, with 20,000+ people in 53 offices around the world. 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, delivering high quality solutions across 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, who will lead a team and drive design discussions with clients.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Overall 8+ years of IT experience with 5+ years in Data related technologies, and expertise of 1+years in data related 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 Azure Cloud.
- Expert in programming languages like Java/ Scala and good to have 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 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 etc.
- 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.
Preferred qualifications
- Certification on Azure cloud platform or big data technologies.
- Strong analytical and problem-solving skills.
- Excellent understanding of data technologies landscape / ecosystem.
Benefits and support
- 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
About Publicis Sapient
Publicis Sapient is a digital business transformation company that helps organizations create and sustain competitive advantage through a blend of strategy, consulting, experience design, and engineering. Operating as a subsidiary of Publicis Groupe, the firm leverages proprietary enterprise AI platforms like Sapient Bodhi, Slingshot, and Sustain to modernize legacy systems and accelerate digital capabilities. With over 30 years of history, it partners with global enterprises across diverse industries to reinvent how they operate and serve their customers.
- Industry
- Digital Transformation
- Company size
- 20000+ employees
- Founded
- 1990
- Location
- Boston, Massachusetts, USA
- Funding stage
- Public Company
Funding
Public Company · $3.7B raised
- 2015-02-01Acquisition$3.7B
Leadership
Chief Executive Officer
Nathalie Le Bos
Chief Financial Officer
Chief Marketing Officer
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