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Experience
6 - 8 Years
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Key Responsibilities:
- Design, implement, and maintain scalable, secure cloud infrastructure for large data platforms (data lakes, data warehouses, and lakehouse solutions) on OCI, AWS, Azure, or GCP.
- Collaborate with Data Engineering teams to build robust, automated ETL/ELT pipelines using tools such as Apache Spark, Databricks, Kafka, or Oracle Cloud Data Integration.
- Implement site reliability engineering best practices tailored for data systems: SLO/SLI definition, error budgeting, automated monitoring, data integrity validation, and incident response for data workloads.
- Design and optimize data storage solutions leveraging both structured and unstructured storage (object storage, data lake/lakehouse platforms like Delta Lake, Iceberg etc.,).
- Automate infrastructure provisioning and CI/CD deployments for data pipelines and analytic workloads with tools like Terraform, Ansible, or CloudFormation.
- Instrument and monitor data platform components for performance, availability, resource consumption, and data quality using observability tools (e.g., Grafana, Splunk).
- Troubleshoot and resolve complex data pipeline or infrastructure issues, conducting root cause analyses and post-incident reviews.
- Advocate for and implement security, governance, and compliance best practices including data privacy, encryption, and access controls.
- Mentor junior team members and promote knowledge sharing around data platform reliability.
Desired Candidate Profile
Qualifications:
- Bachelor s or Master s in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
- 6+ years experience in cloud engineering, SRE, or DevOps roles with at least 4 years supporting data engineering initiatives.
- Practical experience designing and operating large-scale cloud-based data platforms (data lakes, warehouses, or lakehouses).
- Strong hands-on skills with infrastructure-as-code (e.g., Terraform), automation (Python/Scala), and containerization (Kubernetes, Docker).
- Familiarity with data processing frameworks (Apache Spark, Databricks, Hadoop), as well as orchestration tools (Airflow, Oozie, or similar).
- Working knowledge of distributed storage, data formats (Parquet, Avro), and modern analytics platforms.
- Solid understanding of networking, cloud security, and regulatory compliance for data platforms.
- Strong analytical, troubleshooting, and communication skills.
- Preferred certifications: Cloud Architect/Engineer (OCI, AWS, Azure, GCP), Databricks, or relevant data engineering credentials.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Principal Cloud SRE Engineer
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Oracle
As a world leader in cloud solutions, Oracle uses tomorrow s technology to tackle today s challenges. We ve partnered with industry-leaders in almost every sector and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That s why we re committed to growing an inclusive workforce that promotes opportunities for all.
https://eeho.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/307846