Senior Data Engineer: Build Scalable Real-Time Pipelines

Publicis Groupe ANZ; Northern (KY); Hybrid; USD 135,000 - 165,000; Full time

Benefits offered by this job

Inclusive workplace

Learning & development

Competitive compensation

Work-life balance

Health benefits

Paid leave

Wellness program

Job summary

Publicis Sapient is seeking a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data pipelines and data solutions across cloud platforms. You will collaborate with data scientists, analysts, and stakeholders to deliver data-driven insights while ensuring quality, security, and compliance.

As part of a diverse team, you will implement ETL processes, optimize storage and processing, and stay current with emerging technologies to drive innovation in analytics and ML

Qualifications

• 5+ years of experience in Big Data engineering, data processing, and analytics.
• Strong proficiency in Hadoop, Spark, Kafka, Flink, and Hive.
• Experience with cloud data platforms (AWS, GCP, or Azure).
• Programming in Java, Scala, or Python for data processing and analytics.
• Hands-on data modeling, ETL, and data warehousing experience.
• Knowledge of distributed computing, streaming, and real-time processing.
• Experience with SQL, NoSQL databases, and data lakes.
• Knowledge of data governance, security, and compliance.

Responsibilities

• 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.

Job description

Publicis Sapient is seeking a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data pipelines and data solutions across cloud platforms. You will collaborate with data scientists, analysts, and stakeholders to deliver data-driven insights while ensuring quality, security, and compliance.

As part of a diverse team, you will implement ETL processes, optimize storage and processing, and stay current with emerging technologies to drive innovation in analytics and ML