[Hiring] Data Engineer + Data Platform Support @Zensar

Role Description

We are looking for a hands-on Airflow & AWS Platform Support engineer who keeps data pipelines and ML workloads running reliably in production, manages access and costs, and enables data teams to build safely.

• Apache Airflow, AWS (S3, EMR and Bedrock) Administrator:
• Strong experience in Airflow DAG monitoring, including tracking task states, resolving DAG execution delays, and ensuring reliability across distributed environments.
• Expertise in failure recovery, including retry strategies, SLA miss handling, backfilling, re-running failed task instances, and ensuring consistent pipeline execution across environments.
• Hands-on experience providing SLA-based job execution support, ensuring time-critical pipelines meet business deadlines and production SLAs are continuously maintained.
• Skilled in performing root cause analysis (RCA) for pipeline failures, including dependency failures, task-level exceptions, scheduler issues, and platform-level bottlenecks.
• Experience in managing S3 storage optimization, including lifecycle policies, intelligent tiering, storage class transitions, versioning, and cost-effective data retention strategies.
• Expertise in securing S3 environments using IAM policies, bucket policies, encryption (KMS), access logging, and object-level permissions.
• Skilled in conducting cost usage analysis for S3 storage and recommending optimization strategies to reduce operational spend.
• Strong background in administering Amazon EMR clusters, including cluster provisioning, configuration, autoscaling, and lifecycle management.
• Experience supporting Amazon Bedrock environments, including model endpoint configuration, invocation monitoring, access control, and cost governance.

Qualifications

• Strong experience in Airflow DAG monitoring.
• Expertise in failure recovery and SLA-based job execution support.
• Skilled in root cause analysis for pipeline failures.
• Experience in managing S3 storage optimization and security.
• Strong background in administering Amazon EMR clusters.
• Experience supporting Amazon Bedrock environments.

Requirements

• Hands-on experience with Apache Airflow and AWS services.
• Ability to conduct cost usage analysis and recommend optimization strategies.
• Experience in managing and securing S3 environments.
• Proficiency in administering Amazon EMR clusters.
• Experience with model endpoint configuration in Amazon Bedrock.

Benefits

• Inclusive workplace culture.
• Opportunities for personal and professional growth.
• Commitment to individual well-being and work-life balance.

Company Description

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

• Part of the $4.8 billion RPG Group.
• Community of 10,000+ innovators across 30+ global locations.
• Commitment to creating an inclusive workplace.