Data Engineer - 100% Remote
There will be an immediate persona verification where he/she has to upload their any ID.Data EngineerWork Type: 100% RemoteWork Duration: 1 Year Contract4-5 openingsJob DescriptionArchitects & Implements: Designs, deploys, and manages enterprise-grade databasesolutions using Google Cloud s managed (Cloud SQL - SQL Server, MySQL, PostgreSQL,Oracle etc.) and cloud-native database services (Bigtable, Spanner, AlloyDB, Firestore etc.)Migrates Data: Leads complex database migration strategies (homogenous andheterogeneous) from on-premises environments or other clouds to Google Cloud.Optimizes Performance: Diagnoses and resolves complex database performance issues,optimizes queries, and implements robust backup, recovery, and high-availability (HA/DR)strategies.Collaborates & Consults: Partners with enterprise customers to understand businessrequirements and translates them into scalable technical database architectures.Enforces Best Practices: Establishes security protocols, encryption, and access controlpolicies (IAM) aligned with industry regulations and Google Cloud best practices.Skillset RequirementsGoogle Cloud Databases: Hands-on engineering experience deploying and managingnative Google Cloud services, specifically Cloud SQL (PostgreSQL/MySQL/SQL Server),Cloud Spanner for globally distributed transactional workloads, Bigtable and AlloyDB for high-performance enterprise workloads. Relational Database Management Systems (RDBMS): Deep technical expertise in coreenterprise RDBMS platforms, including PostgreSQL, Oracle, and Microsoft SQL Server (AOAG, Active Directory Integration), with a comprehensive understanding of database engines,schema design, and concurrency controls.Enterprise Migration Methodologies: Practical experience executing large-scale,minimal-downtime migrations using tools like Google Cloud Database Migration Service(DMS), Ora2Pg, or similar CDC (Change Data Capture) pipeline technologies for bothhomogenous and heterogeneous migrations. Performance Engineering & Optimization: Mastery of deep-dive performancediagnostics, including the analysis of query execution plans, wait states, indexing strategies, andconnection pooling to resolve complex bottleneck issues.High Availability & Disaster Recovery: Experience designing and validating robustreplication architectures, failover mechanisms, multi-region disaster recovery setups, and point-in-time recovery (PITR) strategies.Infrastructure as Code (IaC) & Automation: Proficiency in provisioning and managingcloud database infrastructure programmatically using Terraform, alongside automation scriptswritten in Python, Bash, or Go.Application Coding: Ability to understand and change code (Database ConnectivityCode) in some of the common programming languages like Java, Python etc. Understanding ofpopular build systems, ORMs and common database libraries (like jdbc, odbc, hibernate).Nice to HaveGoogle Cloud Certifications: Professional Cloud Database Engineer.Hybrid/Multi-Cloud Experience: Experience managing hybrid data environments ormigrating from AWS/Azure to Google Cloud.Data Analytics Integration: Experience tying database infrastructure into modernanalytics and pipeline workflows (e.g., Dataflow, CDC).Automation: Strong scripting skills (Python, Bash, or Go) for database automation andmonitoring tasks.Job ResponsibilitiesArchitects & Implements: Designs, deploys, and manages enterprise-grade databasesolutions using Google Cloud s managed (Cloud SQL - SQL Server, MySQL, PostgreSQL,Oracle etc.) and cloud-native database services (Bigtable, Spanner, AlloyDB, Firestore etc.)Migrates Data: Leads complex database migration strategies (homogenous andheterogeneous) from on-premises environments or other clouds to Google Cloud.Optimizes Performance: Diagnoses and resolves complex database performance issues,optimizes queries, and implements robust backup, recovery, and high-availability (HA/DR)strategies.Collaborates & Consults: Partners with enterprise customers to understand businessrequirements and translates them into scalable technical database architectures.Enforces Best Practices: Establishes security protocols, encryption, and access controlpolicies (IAM) aligned with industry regulations and Google Cloud best practices.