Anblicks Benefits Overview

Lead production support and continuous improvement for an Azure and Databricks data platform. Responsibilities include incident resolution, root-cause analysis, stakeholder communication, monitoring, performance and cost optimization, data quality and governance, change and release management, KPI reporting, documentation, training, and automation including self-healing capabilities.

Design and build Go-based integration services, APIs, and event-driven workflows using AWS SQS, SNS, Lambda, EKS, Kubernetes, and RDS. Develop resilient, observable, well-tested services with strong API contracts, schema evolution, and enterprise integration patterns. Contribute to containerization, CI/CD, performance tuning, and non-functional validation. Use AI-assisted development responsibly, review code, mentor developers, and provide technical guidance.

Designs and maintains scalable data pipelines, develops dbt transformation workflows, and architects Snowflake data models and warehousing solutions. Integrates multiple data sources, implements quality monitoring, troubleshoots pipeline issues, optimizes SQL and warehouse performance, documents architecture, and collaborates with analysts, data scientists, and stakeholders to deliver reliable analytics infrastructure.