Lead Senior Associate | Data Engineering | Bengaluru | Engineering as a Service/ Operate

Role Title: Sr Data Engineer I Job Summary: We are seeking a Sr Data Engineer I to support the reliability, scalability, and performance of Disneys Ad Technology big data platforms and pipelines. This role focuses on hands-on development and operations for Databricks, Spark, Flink, and Airflow (MWAA) environments, ensuring that production data workflows are resilient, cost-efficient, and performant at scale. You will be responsible for building, optimizing, and supporting data pipelines, while contributing to automation, monitoring, and incident response. This role will work closely with platform, BI, and analytics teams to ensure data is delivered accurately and on time. As a senior IC, youll also mentor junior engineers, contribute to runbooks, and help evolve best practices under the guidance of a Lead Engineer and Manager. 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: 4+ years of experience in data engineering or big data platform operations. Hands-on experience with Databricks, Spark, Flink, or Airflow (MWAA) in production. Strong 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). Strong collaboration and problem-solving skills, with experience in distributed teams. Preferred Qualifications: Experience with incident response and RCA in production data environments. Familiarity with CI/CD pipelines (GitLab, Jenkins, or GitHub Actions). Exposure to data governance, access control, and cost optimization practices. Certifications such as Databricks Data Engineer Associate or AWS Solutions Architect Associate. Required Education: Bachelors degree in Computer Science, Engineering, or related technical field (or equivalent experience).