Senior Data Engineer

Publicis Groupe • Atlanta, GA

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About The Position

As a Senior Associate Data Engineer, you will be responsible for designing, developing, and maintaining 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.

Requirements

• 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.

Nice To Haves

• Experience with containerization and orchestration tools such as Docker, Kubernetes.
• Knowledge of machine learning frameworks and data science workflows.
• Certifications in Big Data technologies (e.g., AWS Certified Big Data – Specialty, Cloudera Certified Professional).
• Experience in financial services, e-commerce, or supply chain industries.

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.

Benefits

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed