Data Engineer, AWS & Big Data Pipelines

Publicis Groupe Holdings B.V; Atlanta (GA); On-site; USD 91,000 - 119,000; Full time

Benefits offered by this job

Competitive compensation

Work-life balance

Health benefits

Paid leave

Wellness program

Job summary

Publicis Sapient in the United States is seeking an Associate Data Engineer to design 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 decision making for our clients.

You will build pipelines with Hadoop, Spark, Kafka and Flink, optimize storage and performance, collaborate with data scientists and analysts, ensure data quality and security, and automate workflows to improve

Qualifications

• 5+ years of experience in Big Data engineering, data processing, and analytics.
• Proficiency in Hadoop, Spark, Kafka, Flink, and Hive.
• Experience with cloud platforms AWS, GCP, or Azure.
• Proficiency in Java, Scala, or Python for data processing.
• Experience with data modeling, ETL, and data warehousing.
• 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

Hadoop

Spark

Kafka

Flink

Hive

AWS

GCP

Azure

Java

Scala

Python

ETL

Data warehousing

SQL

NoSQL

Tools

Docker

Kubernetes

Job description

Publicis Sapient in the United States is seeking an Associate Data Engineer to design 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 decision making for our clients.

You will build pipelines with Hadoop, Spark, Kafka and Flink, optimize storage and performance, collaborate with data scientists and analysts, ensure data quality and security, and automate workflows to improve