Lead – Data Ops
Reliance Industries Limited
Date: 2 weeks ago
City: Navi Mumbai, Maharashtra
Contract type: Full time
Job Purpose
To lead the development and management of robust data infrastructure and pipelines across the CBG network, enabling the delivery of data as a product. This role ensures high-quality, accessible, and timely data is available for advanced analytics, reporting, and decision-making across all operational and business functions.
Key Responsibilities
Data Infrastructure Development:
To lead the development and management of robust data infrastructure and pipelines across the CBG network, enabling the delivery of data as a product. This role ensures high-quality, accessible, and timely data is available for advanced analytics, reporting, and decision-making across all operational and business functions.
Key Responsibilities
Data Infrastructure Development:
- Design, implement, and manage scalable data architecture for collecting, storing, and processing large volumes of data from CBG plant systems (SCADA, PLC, IoT devices, SAP, EMS, LIMS, etc.).
- Own the cloud/on-prem data lake, data warehouse, and structured databases supporting both real-time and batch processing.
- Develop and maintain robust, automated data pipelines using modern ETL/ELT tools
- Ensure reliability, efficiency, and monitoring of all data flows from source to destination systems.
- Implement processes to ensure data accuracy, consistency, completeness, and freshness.
- Work with Data Governance and Compliance teams to define standards, validation rules, and audit trails.
- Collaborate with data scientists, business analysts, application teams, and plant operations to understand and prioritize data requirements.
- Enable self-service data access through APIs, secure dashboards, and curated datasets.
- Maintain a data catalogue and lineage tracking system to improve data discoverability and reusability across the organization.
- Provide documentation and training on data schema, usage, and access policies.
- Ensure data is stored and accessed securely, following best practices in encryption, role-based access, and regulatory compliance.
- B.E. / B.Tech
- Expertise in SQL, Python, DevOps and distributed data technologies (e.g., Spark, Kafka).
- Experience with cloud platforms such as AWS, Azure, or GCP, and associated data services Strong understanding of CI/CD for data pipelines and MLOps integration.
- Familiarity with industrial data sources (OPC-UA, MQTT, SCADA systems) is highly desirable.
- Excellent leadership, documentation, and stakeholder communication skills.
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