Associate Data Engineer, AWS Cloud

Senior Associate, AWS Data Engineering - Los Angeles 3 x per week., As a Senior Associate Data Engineer, you will be responsible for designing, developing, and maintaining scalable Big Data solutions. You will work with large datasets, real-time processing frameworks, and AWS cloud-based data platforms to enable data-driven decision-making for our clients. 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

• 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, pyspark,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.
• Experience with data processing platforms such as Databricks
• 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

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.

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

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.