About the role
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. Overview Senior Associate L2 – Data Engineering Publicis Sapient is seeking a Senior Associate L2 – Data Engineering to join our high performing engineering team. In this role, you will translate client requirements into scalable data solutions and drive technical design discussions to ensure robust and efficient architectures. You will leverage your expertise in big data, cloud platforms, and data integration to build end-to-end data pipelines that power analytics and business transformation. This role is critical in enabling clients to unlock value through modern data ecosystems and advanced engineering practices. Your Impact: • Design and deliver scalable data engineering solutions to address complex business requirements. • Build and optimize data ingestion pipelines for batch and real-time processing from multiple data sources. • Implement robust data processing, storage, and computation frameworks ensuring performance and scalability. • Drive architecture discussions and ensure the overall health and efficiency of data solutions. • Develop analytics, aggregation, and search capabilities to enable data-driven decision-making. • Collaborate with cross-functional teams to integrate data platforms with business applications. • Implement cloud-based data solutions leveraging AWS, Azure, or GCP platforms. Qualifications Your Skills & Experience: • 6+ years of IT experience, with 3+ years in data engineering or related technologies. • Hands-on experience with Big Data technologies and cloud platform Azure (Multi-cloud is added advantage) • Strong programming expertise in Scala, or Python • Experience with Hadoop ecosystem tools such as Spark, Hive, Kafka, Flink, NiFi, and Airflow. • Working knowledge of NoSQL and MPP data platforms like MongoDB, Cassandra, Redshift, or BigQuery. • Understanding of data integration, data wrangling, analytics pipelines, and cloud data services. • Strong understanding of IAM, data security, and cloud-based data platform services. Additional information Set Yourself Apart With: • Experience with ETL tools such as Informatica or Talend and relational databases. • Knowledge of data governance tools and processes (Collibra, Alation, lineage, cataloging). • Exposure to messaging frameworks like ActiveMQ, RabbitMQ, and microservices architecture. • Experience in performance tuning and optimization of data pipelines • CI/CD practices including cloud infrastructure provisioning and automated deployment pipelines. • Relevant cloud or big data certifications along with Gen AI experience. Benefits of Working Here: Gender-Neutral Policy 18 paid holidays throughout the year. Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well-being.