Senior Data Engineer

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.

Job Description

Publicis Sapient is looking for a AWS Senior Data Engineer, a top-notch technologist who will enable real business outcomes for our enterprise clients. You will create impact for some of the world's biggest brands, by translating their needs into transformative solutions that provide valuable insight. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future

Responsibilities

Your Impact:

• Hands on with Python, Spark/Pyspark, or SCALA
• Solid understanding and hands on experience with Databricks and Spark, the core engine of Databricks, including its core concepts like RDDs, DataFrames, and Datasets.
• Expertise in data ingestion, transformation, and loading (ETL) processes, data modeling, and data warehousing.
• Act as a trusted AWS expert to clients as part of large digital transformation journeys
• Advance the application of large-scale data platforms as a core building block to enable true business transformation
• Lead Data Migration projects to AWS cloud
• Build complex data pipelines on AWS infrastructure using cloud native technologies
• Work closely with our clients in understanding their needs and translating them to technology solutions
• Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs
• Shape opportunities and create execution approaches throughout the lifecycle of client engagements
• Ensuring all deliverables are of high quality by setting development standards, adhering to the standards, and participating in code reviews
• Mentor, support, and manage team members

Qualifications

Your Skills and Experience:

• AWS Fundamentals: Deep understanding of AWS concepts like regions, availability zones, EC2 instances, S3 buckets, and IAM roles.
• Compute Services: Proficiency in EC2 for virtual machines, Lambda for serverless functions, and ECS/EKS for container orchestration.
• Storage and Databases: Knowledge of S3 for object storage, RDS for relational databases, DynamoDB for NoSQL databases, and EFS for file storage.
• Networking: Understanding of VPC, security groups, NACLs, load balancers, and Route 53.
• Data Processing: Familiarity with AWS Glue for ETL jobs, EMR for big data processing, and Redshift for data warehousing.
• Machine Learning: Experience with SageMaker for building and deploying machine learning models.
• Programming; Hands on with Python, Spark/Pyspark, etc.
• Big Data: Either extensive knowledge of Spark OR extensive knowledge of EMR or Databricks
• CI/CD: CI/CD on AWS using CodePipeline and related services and/or using Jenkins
• Data Pipelines: Hands on experience with Airflow for data pipelines or AWS Astronomer
• Certification in AWS

Additional Information

Annual Pay Range- USD 108,000- USD 160,000

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.

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