Sr Data Ops Developer
Epicor (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and maintain cloud-based data pipelines and data platform architectures supporting large-scale data storage, processing, and analysis.
- Collaborate with stakeholders to gather requirements and translate them into scalable, reliable data solutions including data lakes, warehouses, marts, and ingestion pipelines.
- Evaluate and select appropriate cloud infrastructure/services (e.g., Azure Spark, Azure SQL Pools) ensuring data quality, integrity, timeliness, performance, scalability, and security.
Minimum Requirements
- 3+ years of experience in data engineering, analytics engineering, DataOps, or related technical field.
- Strong SQL skills with proven experience in data pipelines, platforms, warehouses, or data lakes.
- Experience working within company policy and internal controls framework such as SOX compliance.
- Work Experience Required: 3+ years in relevant roles.
Ideal Candidate Profile
- Experienced with Azure cloud-native data processing and infrastructure components, including hands-on knowledge of Azure Spark, Azure SQL Pools/data warehouses.
- Familiarity with cloud DevOps practices including infrastructure-as-code (Bicep, Terraform, or ARM), CI/CD, Git workflows, automated deployments.
- Candidate with exposure or practical skills in AI-assisted development tools, applied AI/GenAI technologies, or lightweight internal application/API development (e.g., Python, FastAPI).