Senior Associate Data Engineering, Big Data

Employer
  • Publicis Groupe

Job Description

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.

Job Description

Publicis Sapient is looking for a Senior Associate Data Engineer, Big Data to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.

Your Impact:

  • Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients’ business
  • Translate clients requirements to system design and develop a solution that delivers business value
  • Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects
  • Automate data platform operations and manage the post-production system and processes
  • Conduct technical feasibility assessments and provide project estimates for the design and development of the solution
  • Mentor, help and grow junior team members

Qualifications

Your Skills & Experience:

  • Experience in data engineering role with demonstrable experience in data integration and data warehouse projects 
  • Data engineering experience with Spark (2.4) preferably with Java 
  • Experience putting end-to-end data pipelines together and well verse with services on AWS 
  • Experience with real time applications for consuming and publishing data to queue/stream such as SQS, Kinesis or any other pub-sub model 
  • Experience with Batch processing of data having high data volume  
  • Experience with Java 
  • Experience developing and configuring spark application, testing and enable activation based on prioritized business use cases 
  • Experience defining data sets and strategies 
  • Experience in No SQL database preferably Cassandra and Dynamo DB 
  • Data modeling expertise 
  • Experience in performance tuning of spark application, error handling and setting up monitoring of jobs 
  • Experience in implementing CICD pipeline through Jenkins

Set Yourself Apart With:

  • Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
  • Understanding of development and project methodologies
  • Experience with reporting tools like Tableau and Business Objects 
  • Experience supporting ML teams and some knowledge of SparkML  
  • Experience working on ETL tools such as Informatica, Talend is a plus 
  • Experience in Snowflake 

Additional Information

Benefits Of Working Here: 

    • Flexible vacation policy; time is not limited, allocated, or accrued
    • 15 paid holidays throughout the year
    • Generous parental leave and new parent transition program
    • Tuition reimbursement 
    • Corporate gift matching program 
    more