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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

Your Impact:

• Work closely with our clients providing evaluation and recommendations of design patterns and solutions for data platforms with a focus on batch, near-real time, structured and unstructured data

• Define SLAs, SLIs, and SLOs with inputs from clients, product owners, and engineers to deliver data-driven interactive experiences

• Provide expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for Azure Data Platform

• 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 and CI/CD for Azure environment using tools such as Terraform and Ansible

• Mentor, support and manage team members

Qualifications

Your Skills And Experience:

• Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines

• Hands-on experience with at Azure

• Experience with column-oriented database technologies (e.g., Synapse), NoSQL database technologies (e.g., DynamoDB, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL)

• Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Azure functions and Stream analytics

• Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, and Azure Purview

• Test plan creation and test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks

• Data modeling, querying, and optimization for relational, NoSQL, timeseries, graph databases, data warehouses and data lakes

• Data processing programming using SQL, Python, and similar tools

• Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala

• Cloud-native data platform design with a focus on streaming and event-driven architectures

• Participate in integrated validation and analysis sessions of components and subsystems on production servers

• Data ingest, validation, and enrichment pipeline design and implementation

• SDLC optimization across workstreams within a solution

• Bachelor’s degree in Computer Science, Engineering, or related field

Additional Information

Set Yourself Apart With:

• Certifications in Azure

• Experience working with code repositories and continuous integration

• Understanding of development and project methodologies

Pay Range: $123,000-$184,000.

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.

Benefits of working here:

• Flexible vacation policy; time is not limited, allocated, or accrued

• 16 paid holidays throughout the year

• Generous parental leave and new parent transition program

• Tuition reimbursement

• Corporate gift matching program