Teams at TechBlocks

Designs and executes quality strategies for cloud data platforms, pipelines, APIs, and applications. Builds Python automation for backend, API, UI, and data validation testing; performs performance testing with k6; validates relational, document, analytical, and columnar databases; troubleshoots data and pipeline issues; and integrates automated checks into CI/CD. The role also supports data profiling, governance, cataloging, lineage, reconciliation, and data-quality controls within GCP.

Design, develop, and operate production-grade Databricks data pipelines integrating REST APIs and enterprise systems. Build dimensional models, advanced SQL transformations, Python utilities, data quality frameworks, and governed assets in Unity Catalog. Manage orchestration, monitoring, error handling, performance optimization, production troubleshooting, CI/CD, and data governance. Preferred experience includes Azure data services, Medallion Architecture, Delta Live Tables, telemetry ingestion, and DevOps practices.

Manage mission-critical Oracle and PostgreSQL databases across AWS RDS, Aurora, and EC2. Responsibilities include performance tuning, upgrades, patching, incident response, backup and recovery, replication, disaster recovery, monitoring, automation, database deployments, and collaboration with DevOps teams. The role includes occasional on-call rotations and weekend deployments.