Associate Data Engineer: AWS Big Data Pipelines

Publicis Sapient; Atlanta (GA); On-site; USD 91,000 - 119,000; Full time

Job summary

Publicis Sapient is seeking an Associate Data Engineer to design, build, and maintain scalable Big Data solutions. You will work with large data sets, real-time processing frameworks, and cloud-based data platforms to enable data-driven decision-making for clients.

You will collaborate with data scientists, analysts, and stakeholders to deliver high-quality data pipelines and ensure data quality, security, and compliance across projects, using modern tools and practices.

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 and platforms.
• Implement data processing and transformation workflows to support analytics, reporting, and ML.
• Optimize data storage, retrieval, and processing for performance and scalability.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs.
• Ensure data quality, security, and compliance with industry standards.
• Automate data workflows and monitoring processes to improve efficiency and reliability.
• Stay updated with emerging Big Data technologies and best practices.

Skills

Hadoop

Spark

Kafka

Flink

Hive

AWS

GCP

Azure

Java

Scala

Python

ETL

Data modeling

Data lakes

NoSQL

SQL

Data governance

Security

Compliance

Data streaming

Problem solving

Job description

Publicis Sapient is seeking an Associate Data Engineer to design, build, and maintain scalable Big Data solutions. You will work with large data sets, real-time processing frameworks, and cloud-based data platforms to enable data-driven decision-making for clients.

You will collaborate with data scientists, analysts, and stakeholders to deliver high-quality data pipelines and ensure data quality, security, and compliance across projects, using modern tools and practices.