Tech S and T-Tech Cloud dev-DataOps Engineer-Senior-GDSF02
Ernst & Young LLP ( EY India )Job Description
Tech S and T-Tech Cloud dev-DataOps Engineer-Senior-GDSF02
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Title: DataOps Engineer - Senior
Job Summary:
We are seeking a DataOps Engineer with up to 8 years of experience across cloud platforms, infrastructure modernization, data foundation enablement, and legacy-to-cloud database transformation. This role focuses on infrastructure-oriented data platforms, database modernization, data movement for migrations, and operational datasets—not BI or analytics.
Key Responsibilities:
- Lead the design of hybrid cloud data platforms, including storage tiers, database modernization, and operational data flows.
- Oversee database assessment, consolidation, and migration for infrastructure and application-related datasets (Oracle, SQL Server, PostgreSQL, MySQL).
- Define ingestion and transformation patterns for infra telemetry, configuration/state data, asset inventories, and migration data.
- Architect cloud-managed database solutions (Azure SQL, PostgreSQL, MySQL Flexible Server, AWS RDS, Cloud SQL) aligned to modernization initiatives.
- Establish governance for schema changes, metadata, lineage, retention, and DB security controls across hybrid environments.
- Lead design of operational data pipelines that support infra monitors, migration factory workflows, topology mapping, and system state analytics.
- Collaborate with Cloud Architects and Infra SMEs to integrate DB workloads with IAM, encryption, networking, and observability platforms.
- Govern LLDs, DB migration runbooks, schema modernization plans, and operational data documentation.
- Mentor teams on database best practices for cloud adoption, performance tuning, indexing, lifecycle policies, and storage optimization.
- Ensure data platform compliance with enterprise governance, DR/backup requirements, DB security posture, and access controls.
Qualifications:
- Up to 8 years in cloud engineering, infra modernization, or hybrid data platform roles with deep exposure to databases.
- Strong experience with RDBMS platforms:
- Oracle, SQL Server, MySQL, PostgreSQL
- Cloud-managed DBs (Azure SQL, AWS RDS, Cloud SQL)
- Hands-on skills in DB schema design, normalization, indexing, partitioning, backup/restore, and performance optimization.
- Strong SQL and scripting skills (Python, PowerShell, Bash) for DB automation and data operations.
- Understanding of cloud storage tiers, IAM, networking, encryption, backup policies, logging, and governance frameworks.
- Experience with ETL/ELT workflows supporting infra and migration data (not BI/analytics).
- Bachelor’s degree in IT/CS or related field, cloud certifications preferred.
Preferred Skills:
- Experience with DB migration tools and strategies (DMS, native backups, replication-based migrations).
- Familiarity with IaC (Terraform/Bicep), pipelines, and observability platforms.
- Knowledge of DB governance, lineage, audit frameworks, and compliance requirements.
- Strong stakeholder management and architectural review experience.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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