Snowflake Data Engineer - Ads
Apple· Reliability Engineering Team, Apple Ads
Hyderabad, Telangana, IndiaFull-timePosted 2mo ago
About the role
Cloud database warehouse engineer (Snowflake) to join the Reliability Engineering Team in Hyderabad, focusing on building, operating, and automating the Snowflake-based data platform on AWS, with open-format lakehouse tech like Apache Iceberg and strong emphasis on automation, CI/CD, and cloud-native tooling.
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.
Qualifications
- 5-8 years of experience in IT / software / database / data engineering
- Hands-on experience with Snowflake (or another cloud data warehouse such as Redshift, BigQuery, or Databricks with a clear path to Snowflake); solid understanding of core database and data-warehousing concepts.
- Strong working knowledge of SQL and fundamentals of query tuning and execution plans (e.g., reading query profiles, clustering/pruning basics, warehouse sizing, and Account Usage / Information Schema views).
- Experience with at least one major cloud provider, ideally AWS, and its core services (compute, managed storage such as S3, networking, security groups, VPC, PrivateLink, KMS, IAM).
- Proficiency in Python for scripting and automation (Snowpark Python a plus).
- Exposure to CI/CD and DevOps tooling (e.g., Git, Jenkins/GitLab CI/GitHub Actions, and infrastructure-as-code such as Terraform or CloudFormation, Helm, ArgoCD, ACK).
- Exposure to open-format lakehouse technologies such as Apache Iceberg (a plus).
- A demonstrated bias toward automation — a track record of scripting or automating repetitive work.
- Working knowledge of Linux/Unix fundamentals.
- Strong analytical and problem-solving skills, eagerness to learn, and good communication and collaboration skills.
Skills
Required:SnowflakeSQLPython (Snowpark)TerraformGitOps / ArgoCD / ACKCI/CD Tools
Benefits
- Accessibility-focused culture and benefits (as described in company note)
- Career growth opportunities within Apple Ads and Hyderabad team
- Mentorship from senior engineers
- Cloud-native tooling and automation focus
- Exposure to modern data lakehouse technologies and CI/CD practices
Last updated Oct 23, 2026. Interested? Apply on the company site.
About Apple
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