Senior Data Platform Support Engineer (L2/L3) - AWS & Spark

Publicis Sapient; Arlington (VA); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

Inclusive workplace

Learning opportunities

Competitive compensation

Work-life balance

Health benefits

Paid leave

Wellness program

Job summary

Publicis Sapient is seeking a Senior Associate Full Stack Data Platform Support Engineer to maintain and optimize data platforms and cloud-native apps on AWS. You will ensure high availability, investigate incidents, and collaborate across SRE, Infra, Dev, and Business teams to improve reliability and performance.

You will monitor EMR/Spark, Kafka, NiFi, EKS, and various databases, perform RCA, and drive automation.

Qualifications

• 6+ years of overall IT experience.
• 4+ years in Data Engineering and Big Data technologies.
• Strong experience developing Spark applications using Scala/Python.
• Experience building cloud-native applications on Kubernetes/EKS.
• Hands-on experience with Kafka-based streaming architecture.
• Experience designing scalable ETL/data ingestion pipelines using Apache NiFi.
• Good understanding of distributed systems, Hadoop ecosystem, and data lake architecture.
• Experience with relational and NoSQL databases.
• Experience in production support, performance optimization, and troubleshooting.
• Knowledge of CI/CD, Infrastructure as Code, and cloud security best practices.

Responsibilities

• Provide L2 production support for AWS-based data platforms with high availability.
• Monitor EMR/Spark/Kafka/NiFi/EKS/Aurora PostgreSQL/DocumentDB/Couchbase/S3.
• Investigate, troubleshoot incidents, performance issues, and RCA with SLAs.
• Perform RCA for recurring issues and implement fixes with engineering teams.
• Monitor batch and streaming pipelines to ensure timely completion.
• Support workflow orchestration with Oozie and scheduling dependencies.
• Monitor Kafka producers/consumers, topics, partitions, and lag.
• Support Kubernetes workloads and deployments on EKS.
• Monitor EMR cluster health, auto-scaling, Spark job execution, and optimize.
• Assist DB administration for Aurora, DocumentDB, Couchbase; query analysis and tuning.

Skills

IT Experience

Data Engineering

Spark (Scala/Python)

Kubernetes/EKS

Kafka

NiFi

Relational/NoSQL

CI/CD/IaC

Cloud Security

AWS

Tools

Docker

Terraform

CloudFormation

Jenkins

Harness

AWS

Job description

Publicis Sapient is seeking a Senior Associate Full Stack Data Platform Support Engineer to maintain and optimize data platforms and cloud-native apps on AWS. You will ensure high availability, investigate incidents, and collaborate across SRE, Infra, Dev, and Business teams to improve reliability and performance.

You will monitor EMR/Spark, Kafka, NiFi, EKS, and various databases, perform RCA, and drive automation.