Job Description

Must have skills:

Advanced SQL development on Google BigQuery, including partitioning, clustering, query tuning, and cost-aware design
Working proficiency in Python for data processing, automation, and operational scripting
Hands-on experience with Azure DevOps (ADO) for repositories, work item tracking, branching, and releases
Building and maintaining CI/CD pipelines for data and cloud deployments
PostgreSQL (PSQL) experience, including query writing, replication concepts, and Change Data Capture (CDC) configuration
Configuring, deploying, and troubleshooting Debezium connectors for streaming change events

Job Summary:

Design, build, and optimise BigQuery SQL queries, views, and datasets for analytics and downstream consumption
Automate recurring data, platform, and housekeeping tasks using Python
Manage source control, work items, and release pipelines in Azure DevOps
Plan and execute scheduled and ad hoc rotation of external GCP service accounts and keys
Configure and support CDC from PostgreSQL sources, including replication slots, publications, and WAL settings
Deploy, monitor, and troubleshoot Debezium connectors, resolving replication lag, schema drift, and connector failures
Provide production support through monitoring, incident triage, root cause analysis, and runbook upkeep
Adhere to Accenture/CIO standards as they evolve

Roles & Responsibilities:

Design, build, and optimise BigQuery SQL queries, views, and datasets for analytics and downstream consumption
Automate recurring data, platform, and housekeeping tasks using Python
Manage source control, work items, and release pipelines in Azure DevOps
Plan and execute scheduled and ad hoc rotation of external GCP service accounts and keys
Configure and support CDC from PostgreSQL sources, including replication slots, publications, and WAL settings
Deploy, monitor, and troubleshoot Debezium connectors, resolving replication lag, schema drift, and connector failures
Provide production support through monitoring, incident triage, root cause analysis, and runbook upkeep
Adhere to Accenture/CIO standards as they evolve

Professional & Tech Skills:

Structured troubleshooting across the database, pipeline, and cloud layers, with clear root cause analysis
Secure-by-default engineering mindset covering least privilege, credential rotation, and auditability
Comfortable working independently in an Agile delivery model, including estimation and progress tracking
Clear written and verbal communication with both technical and business stakeholders
Documentation discipline across runbooks, design notes, and handover material
Collaborative approach to peer review, pairing, and knowledge sharing within the team