Senior Data Engineer

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 Data Engineering L2 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 cloud-based data platforms to enable data-driven decision-making for our clients. Your Impact Design, develop, and maintain Big Data pipelines using technologies such as Hadoop, Spark, Kafka, and Flink. Implement data processing and transformation workflows to support analytics, reporting, and machine learning applications. Optimize data storage, retrieval, and processing for performance and scalability. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions. Ensure data quality, security, and compliance with industry standards and best practices. Automate data workflows and monitoring processes to improve efficiency and reliability. Stay updated with emerging Big Data technologies and best practices to drive innovation. Skills & Experience 5+ years of experience in Big Data engineering, data processing, and analytics. Strong proficiency in Big Data technologies such as Hadoop, Spark, Kafka, Flink, and Hive. Experience with cloud-based data platforms such as AWS, GCP, or Azure. Proficiency in programming languages such as Java, Scala, or Python for data processing and analytics. Hands-on experience with data modeling, ETL processes, and data warehousing. Strong understanding of distributed computing, data streaming, and real-time processing. Experience with SQL, NoSQL databases, and data lakes. Knowledge of data governance, security, and compliance best practices. Strong problem-solving and analytical skills with a focus on delivering high-quality data solutions. Set Yourself Apart With Experience with containerization and orchestration tools such as Docker, Kubernetes. Knowledge of machine learning frameworks and data science workflows. Certifications in Big Data technologies (e.g., AWS Certified Big Data - Specialty, Cloudera Certified Professional). Experience in financial services, e-commerce, or supply chain industries. Additional information Benefits of Working Here 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. Pay Range: $135,000 - $165,000 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 disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at View email address on click.appcast.io. #J-18808-Ljbffr