Role Title: Sr Data Engineer I

Responsibilities:
Pipeline Development & Operations:
• Design, maintain, and optimize Spark and Flink pipelines running in Databricks and Airflow.
• Ensure reliability and availability of data workflows in production.
• Debug and resolve issues in notebooks, jobs, and orchestration workflows.
Performance Optimization:
• Tune Spark jobs, clusters, and data pipelines for performance and cost efficiency.
• Analyze logs, queries, and workloads to identify bottlenecks and implement improvements.
Monitoring & Observability:
• Build and maintain dashboards, alerts, and metrics with Datadog, CloudWatch, or Prometheus.
• Proactively monitor pipeline health and escalate issues as needed.
Incident Response & RCA:
• Participate in incident response for pipeline issues, helping diagnose and resolve outages.
• Contribute to RCA and preventative actions to improve long-term stability.
Collaboration & Knowledge Sharing:
• Partner with data engineering, BI, and platform teams to support delivery and operations.
• Document best practices,



contribute to runbooks, and mentor junior engineers.

Basic Qualifications:
• 6+ years of experience in data engineering or big data platform operations.
• Hands-on experience with Databricks, Spark, Flink, or Airflow (MWAA) in production.
• Robust SQL skills and experience with ETL/ELT pipeline development.
• Familiarity with AWS services (S3, Glue, Athena, EMR, EKS) for pipeline management.
• Working knowledge of observability tools (Datadog, CloudWatch, Prometheus).
• Proficiency in Python, Scala, or Java for pipeline development and automation.
• Familiarity with infrastructure-as-code (Terraform or similar).
• Robust collaboration and problem-solving skills, with experience in distributed teams.

Preferred Qualifications:
• Experience with incident response and RCA in production data settings.
• Familiarity with CI/CD pipelines (GitLab, Jenkins, or GitHub Actions).
• Exposure to data governance, access contro

📌 Data Engineer Bengaluru
🏢 Deloitte
📍 Bengaluru