Senior Big Data Engineer: Real-Time Pipelines & Cloud

Publicis Sapient; Boston (MA); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Health benefits

Paid leave and holidays

Wellness program

Job summary

Publicis Sapient is hiring a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data solutions. You will work with large datasets, real-time processing frameworks, and cloud-based data platforms to enable data-driven decisions for clients.

The role emphasizes data modeling, ETL, and data warehousing across AWS/GCP/Azure. Join a team that collaborates with data scientists, analysts, and business stakeholders to deliver high-quality data solutions while ensuring data

Qualifications

• 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.

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.

Skills

Big Data engineering

Hadoop

Spark

Kafka

Flink

Hive

AWS

GCP

Azure

Java

Scala

Python

ETL

Data warehousing

SQL

NoSQL

Data lakes

Data governance

Security

Compliance

Docker

Kubernetes

Real-time processing

Tools

Docker

Kubernetes

Job description

Publicis Sapient is hiring a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data solutions. You will work with large datasets, real-time processing frameworks, and cloud-based data platforms to enable data-driven decisions for clients.

The role emphasizes data modeling, ETL, and data warehousing across AWS/GCP/Azure. Join a team that collaborates with data scientists, analysts, and business stakeholders to deliver high-quality data solutions while ensuring data