Data Engineer – Senior — Data Engineer – Senior – India
Join a fast‑growing AIOps team that powers data‑driven decisions across EY’s global network. You’ll architect end‑to‑end pipelines, collaborate with data scientists, and shape cloud‑first solutions that impact millions of users.
What You’ll Do
Build and scale data pipelines with Kafka, Spark, or AWS Glue.
Design schemas in Redshift, BigQuery, or Azure Data Lake.
Automate ETL workflows using NiFi, Talend, Python, and SQL scripts.
Monitor and tune pipeline performance with Airflow or Step Functions.
Implement CI/CD and IaC with Jenkins, GitLab, Terraform, CloudFormation.
Deploy containerized data services with Docker and Kubernetes.
Ensure data governance and logging with Prometheus, Grafana, ELK.
What You Need
6+ years developing data pipelines (Kafka, Spark, AWS Glue).
6+ years designing data models in Redshift, BigQuery, or Azure Data Lake.
Expert‑level Terraform and hands‑on with at least two clouds (AWS, Azure, GCP).
Strong Kubernetes, Helm, and CI/CD experience (Jenkins, GitLab CI).
Proficient in Python and Bash/PowerShell scripting.
Experience with Ansible or Puppet and solid DevSecOps understanding.
Good to Have
Led cloud‑migration or RFP/RFI initiatives.
Certifications: AWS Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate.
OpenShift knowledge.
Team‑lead or mentoring experience.
The Opportunity
You’ll work within EY’s cross‑functional AIOps group, gaining exposure to large‑scale enterprise data projects while collaborating with global experts.