Job Summary

At Apple, everything begins with the customer experience.

Apple

Ads extends this philosophy to advertising-helping people discover what they need while empowering advertisers to grow their businesses. Our technology delivers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS (Major League Soccer) Season Pass. Every solution we build is rooted in trust, connection, and impact: respecting user privacy, integrating advertising seamlessly into the Apple experience, and delivering value for advertisers of every size-from small app developers to global brands.

When advertising is done right, it advantages everyone.

Apple

Ads, India is seeking Cloud database warehouse engineer (Snowflake) to join the Reliability Engineering Team in Hyderabad, to build, operate, and automate our database platform.

In this role, you ll work primarily with Snowflake on AWS, alongside open-format lakehouse technologies like Apache Iceberg, and grow your skills in cloud infrastructure, CI/CD, and automation. This is a hands-on role for someone who enjoys scripting away toil, learning cloud-native tooling, and partnering with engineering teams. You ll be mentored by senior engineers while taking increasing ownership of real production data platforms.

Responsibilities

- Administer Snowflake accounts, virtual warehouses, and database objects - including configuring auto-scaling, monitoring warehouse utilization, and implementing backup and recovery strategies via Time Travel and Cloning.

- Manage the full lifecycle of database objects, roles, and account-level parameters across development, staging, and production environments.

- Proactively monitor and tune workloads using Snowsight Performance Explorer and the Account Usage schemas.

- Optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Service or Query Acceleration Service where necessary.





- Implement autonomous warehouse management by right-sizing clusters based on real-time usage patterns, and configure auto-suspend/resume with 60-second timeouts to eliminate idle compute waste.

- Hands-on experience with Apache Iceberg is a must - design and manage unified, open-format storage that can be queried directly in Snowflake with warehouse-level performance.

- Manage Snowflake Iceberg Tables in the AWS cloud.

- Develop advanced scripts and pipelines using Snowpark Python and Snowpark pandas APIs for scalable data transformations.

- Strong Python programming skills are a must - building automation tooling, reusable libraries, and operational scripts for administrative and data-engineering tasks.

- Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code using Terraform.

- Build and manage declarative, GitOps-driven infrastructure using ArgoCD, Custom Resource Definitions (CRDs), and AWS Controllers for Kubernetes (ACK) to provision and manage cloud resources natively from Kubernetes.

- Knowledge of CI/CD platforms and DevOps practices is a must - designing, building, and maintaining automated build, test, and deployment pipelines (e. g. , Jenkins, GitLab CI, GitHub Actions), applying version control, automated testing, release management, and configuration management.

- Working knowledge of Amazon EKS and core AWS components - including S3, API/NAT Gateway, PrivateLink, Load Balancing (ELB/ALB/NLB), and VPC peering.

- Configure and support secure data sharing between Snowflake accounts and across cloud boundaries.

- Implement Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data masking policies, ensuring compliance with data protection standards such as GDPR and HIPAA.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Snowflake Data Engineer - Ads (Hyderabad)
🏢 Apple
📍 Hyderabad