Senior Associate Data Engineer- AWS Developer

at  Publicis Sapient

JOB DESCRIPTION

Publicis Sapient is looking for a Senior Associate Data Engineer AWS, 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
• 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 Amazon Web Services Cloud Platform
• Implementation experience with column-oriented database technologies (i.e., Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, 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, 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
• Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes
• Data processing programming using SQL, DBT, Python, and similar tools
• Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala
• Data ingest, validation, and enrichment pipeline design and implementation
• Cloud-native data platform design with a focus on streaming and event-driven architectures
• Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks
• Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as AWS Glue Catalog, OpenMetadata, DataHub, Alation, and similar
• Code review and mentorship
• Bachelor’s degree in Computer Science, Engineering or related field.

COMPANY DESCRIPTION

Publicis Sapient is a global digital transformation partner that empowers organizations to embrace digital innovation, enhance customer experiences, and accelerate business growth through a blend of strategy, consulting, agile engineering, and problem-solving creativity. With over 20,000 professionals worldwide, we help clients achieve their future digital goals by fusing technology, data sciences, and customer obsession

Please refer the Job description for details