:

- AWS, Databricks and Snowflake platform engineering, including infrastructure configuration, access management, deployment, integration, operational support and troubleshooting.
- GitLab DevOps & CI/CD pipelines, including build/test/release workflows, approvals, quality gates, deployment automation and artefact management.
- DevOps engineering fundamentals, including release automation, environment management, deployment strategies, infrastructure/platform support, production troubleshooting and operational readiness.
- Fundamentals of at least one programming or scripting language, with the ability to understand code, interpret logs and errors, troubleshoot applications and pipelines, support automation, and collaborate with engineering teams on code-level diagnosis.
- Kafka fundamentals, including topics, partitions, producers/consumers, offsets, connectivity and operational troubleshooting.
- Experience supporting data engineering and cloud platform workloads across development and production environments.

Some other highly valued skills may include:

- Experience with AWS services such as S3, IAM and KMS, including security, access management and operational troubleshooting.
- Experience with Databricks administration and engineering, including workspaces, clusters, SQL warehouses,



catalogs, schemas, service principals and access controls.
- Experience with Snowflake, including databases, schemas, roles/RBAC, connectivity, access management and operational support.
- Experience with Oracle from an operational perspective, including connectivity, runtime troubleshooting, performance awareness and deployment impacts.
- Strong understanding of observability and monitoring, including AppDynamics (AppD), enterprise/platform monitoring, logging and alerting.
- Valuable working knowledge of JIRA, GitLab and Agile delivery practices.
- Understanding of API engineering concepts, including REST, authentication/security patterns, versioning and gateway/integration fundamentals.
- Exposure to security and controls, including vulnerability scanning, secrets management and rotation, auditability, access governance and change management.
- Exposure to automation and Infrastructure-as-Code principles, with an ability to reduce repetitive operational activities through engineering.
- Understanding of production support and incident management, including analysing job failures, log investigation, root-cause identification and remediation.

📌 Lead Platform/ DevOps Engineer _Exp: 10+ Years (Maharashtra)
🏢 Atyeti
📍 Maharashtra