Teams at Kanerika

Designs, develops, deploys, and supports Snowflake-based enterprise data solutions. Responsibilities include building ETL/ELT pipelines, AWS Glue workflows, database objects, metadata-driven frameworks, and deployment automation. The role administers Snowflake, supports Aurora PostgreSQL, S3, and AWS DMS integrations, troubleshoots production data platforms, optimizes performance and costs, manages Liquibase releases, and maintains CI/CD, monitoring, documentation, and operational runbooks.

Lead technical pre-sales for Databricks engagements: run discovery, design solution architectures, scope and estimate efforts, produce proposals/SOWs, deliver demos/POCs, respond to RFIs/RFPs, maintain reusable pre-sales assets, qualify opportunities with sales, and hand off to delivery teams.

Build and maintain automation regression suites and frameworks, design and execute automated and manual tests across reporting systems and ETL/data pipelines, perform SQL-based data validation, validate data migrations and end-to-end flows, triage defects with cross-functional teams, and maintain QA documentation and test reports.