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Contenu de l'offre Data Engineer - Manager chez Publicis Sapient


Data Engineer - Manager


Company Description


As a digital business transformation partner, we’ve spent nearly three decades utilizing the disruptive power of technology and ingenuity to help digitally enable our clients' business in their pursuit of next. Always through radical customer centricity and an outside-in mindset. We’ve built a history of digital firsts… 



we helped a bank launch the world’s first Internet Banking Offering
enabled an Airline to become the first to allow online check-in and seat selection
launched the first online share Trading Platform
created the first secure transaction for money online

We bring a startup mindset and agile methods to both established companies and the public sector to unlock value in ways that delight their customers and improve their operational effectiveness. Our approach to transformation is built from outside-in, challenging conventions and uniquely fusing of strategy and consulting, experience, data science and engineering with an enduring culture of creative problem-solving.


Job Description


Role:
As Manager with our Data Engineering group, you will be responsible for consulting clients on data solutions. You will architect, design, estimate, developing and deploy cutting edge software products and services that leverage large scale data ingestion, processing, storage and querying, in-stream analytics and batch analytics for Cloud and on-prem environments.
Your role will be focused on delivering high quality solutions while independently driving design discussions across Data Engineering topics (ingestion, consumption, storage, computation, data models, performance, DevOps, Test automation & Security) to enables enterprise scale digital transformation of many of the biggest companies in the world.
As a hands-on technologist you will be excited to join super talented and supportive community of Data Engineers who are passionate about building the best possible solutions for our clients and endorse a culture of life-long learning and collaboration.  


What you’ll bring:
•    Extensive experience with Data related technologies, to include knowledge of Big Data Architecture Patterns and Cloud services (AWS / Azure / GCP)
•    Experience delivering end to end Big Data solutions on premise and/or on Cloud
•    Knowledge of the pros and cons of various database technologies like Relational, NoSQL, MPP, Columnar databases
•    Expertise in the Hadoop eco-system with one or more distribution-like Cloudera and cloud specific distributions
•    Expertise in Java and Scala programming languages (Python a plus)
•    Expertise in one or more big data ingestion tools (Sqoop, Flume, NiFI etc.), distributed messaging and ingestion frameworks (Kafka, Pulsar, Pub/Sub etc.) 
•    Expertise in at least one distributed data processing frameworks e.g. Spark (Core, Streaming, SQL), Storm, Flink etc. 
•    Expertise in one or more NoSQL database (Mongo DB, Cassandra, HBase, DynamoDB, Big Table etc)
•    Expertise with flexible, scalable data models addressing wide variety of consumption patterns including random-access, sequential access including necessary optimisations like bucketing, aggregating, sharding
•    Expertise with performance tuning, optimization and scaling the solution from a storage/processing standpoint
•    Experience building DevOps pipelines for data solutions, including automated testing


Qualifications


About you:



You likely have a Bachelor’s/Master’s Degree in Computer Engineering, Computer Science, or a related field
You enjoy client facing and/or consulting roles
You are fluent in French (verbal and written, business environment, complex concepts) as well as English
You have proven experience engaging with client technology architects to help shape solution decisions
You have good communication, presentation, coordination, facilitation and negotiation skills
You have good general analytical and problem solving skills
You pick up new technologies quickly, compare/contrast by way of POCs as well as research
You are a self-starter who requires minimal oversight and are able to prioritize and manage multiple tasks
You demonstrate some mentoring skills

You also likely have some of the following:
•    Knowledge of containerization, orchestration and Kubernetes engine 
•    An understanding of how to setup Big data cluster security (Authorization/ Authentication, Security for data at rest, data in transit)
•    A basic understanding of how to manage and setup Monitoring and alerting for Big data clusters 
•    Experience of orchestration tools – Oozie , Airflow , Ctr-M or similar
•    Experience of MPP style query engines like Impala , Presto, Athena etc.
•    Knowledge of multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models
•    Experience in engaging and popularizing with senior stakeholders
•    Exposure to data governance, catalog, lineage and associated tools would be an added advantage
•    A certification in one or more cloud platforms or big data technologies
•    Any active participation in the Data Engineering thought community (e.g. blogs, key note sessions, POV/POC, hackathon) 


Additional Information


Viva the difference!
Viva the difference ! is a philosophy of Publicis Group that has always testified to our ongoing commitment to diversity, and to our conviction that our talents are our greatest asset.
We thus value all individualities, without discrimination based on age, sex, skin color, ethnicity, religion, gender identity or expression, or sexual orientation...
Only competencies and mindset count! We encourage all qualified applications and will be happy to accommodate throughout the recruitment process, in a personalized way, candidates with disabilities.
Publicis France is committed to equal and fair employment opportunities for all.


Summary



Type: Full-time

Function: Information Technology


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