Senior Data Engineer with Snowflake (Hyderabad-based)

Lead implementation of change data capture from AWS Aurora PostgreSQL to Snowflake analytics environment using metadata-driven frameworks for near-real-time data delivery.

Configure, operate, and monitor Snowflake OpenFlow and related infrastructure for logical replication and data pipeline health, including performance and cost optimizations.

Collaborate with data platform, infrastructure, and architecture teams to validate, document, and support schema adoption and pipeline renewal while ensuring security, governance, and business continuity.

Must be Hyderabad-based and available to work from the office.

Hands-on experience with Snowflake OpenFlow or Apache NiFi for data integration.

Strong experience with PostgreSQL or Aurora logical replication including WAL, slots, and access control.

Proficient with Terraform on AWS including networking, security groups, IAM, and role pass-through for managed services; plus strong SQL and DBT experience for transformations.

Experienced in technical cross-team collaboration within Agile environments, capable of defining and validating success criteria with stakeholders.

Familiarity with regulated financial or member services domains and applying data quality and security governance practices.

Technically versatile with knowledge of cloud orchestration tools (Airflow, EKS/Kubernetes), automation scripting (Python), and monitoring solutions (Snowflake observability, Amazon CloudWatch).