Senior Data Engineer: Real-Time Big Data Pipelines

Sapient Corporation; Arlington (VA); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits

Paid leave

Learning & development

Wellness program

Job summary

Publicis Sapient is seeking a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data solutions on cloud platforms. You will work with large datasets, real-time streams, and analytics to enable data-driven decision-making for clients.

You will build and optimize data pipelines using Hadoop, Spark, Kafka, and Flink, implement ETL workflows, and collaborate with data scientists and engineers to deliver high-quality data products while ensuring governance and security.

Qualifications

• 5+ years of experience in Big Data engineering and analytics.
• Proficiency in Hadoop, Spark, Kafka, Flink, and Hive.
• Experience with cloud platforms AWS, GCP, or Azure.
• Programming in Java, Scala, or Python for data processing.
• Hands-on experience with data modeling, ETL, 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 Hadoop, Spark, Kafka, and Flink.
• Implement data processing and transformation workflows to support analytics, reporting, and ML applications.
• Optimize data storage, retrieval, and processing for performance and scalability.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
• 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

Docker

Kubernetes

Tools

Docker

Kubernetes

Job description

Publicis Sapient is seeking a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data solutions on cloud platforms. You will work with large datasets, real-time streams, and analytics to enable data-driven decision-making for clients.

You will build and optimize data pipelines using Hadoop, Spark, Kafka, and Flink, implement ETL workflows, and collaborate with data scientists and engineers to deliver high-quality data products while ensuring governance and security.