Senior Data Engineer

Key Skills

AWS, Azure, Azure CosmosDB, Cloud computing, Data Modeling, Data pipelines, Design, DynamoDB, Google Cloud Platform (GCP), Java Programming, JavaScript, MySQL, NoSQL, Oracle, Project management, PySpark, Python Programming, Scala Programming, SQL, SQL Server

Job Description

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.

Your Daily Duties and 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
• 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

Qualifications

Your Technical Skills & Experience:

• Demonstrable experience in data platforms involving implementation of end-to-end data pipelines 
• Hands-on experience with Cloud Azure or AWS or GCP
• 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 implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Azure functions and Stream analytics 
• 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
• 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
• Bachelor’s degree in Computer Science, Engineering, or related field

Set Yourself Apart With:

• Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
• Understanding of development and project methodologies
• Willingness to travel

Additional Information

Pay Range: $91,000 - $169,000

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

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.