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Publicis Sapient is looking for a Senior Data Engineer 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.
Key Responsibilities:
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
Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects that delivers business value for clients
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
Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements
Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager
Mentor, help and grow junior team members
Desired Profile:
Demonstrable experience in data platforms involving implementation of end to end data pipelines
Good communication and willingness to work as a team
Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud)
Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB,
BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL)
Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
Ability to handle module or track level responsibilities and contributing to tasks “hands-on”
Experience in data modeling, warehouse design and fact/dimension implementations
Experience working with code repositories and continuous integration
Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
Understanding of development and project methodologies
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