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Skills Required

data development management network analytics reporting design architecture processing scada plc iot sap lims pipeline engineering orchestration etl reliability efficiency monitoring governance consistency compliance audit collaboration service tracking documentation training security encryption sql python devops spark aws azure gcp mqtt leadership communication

Work Mode

On-site

Job Type

Full Time

Job Description

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:

  • 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.

Pipeline Engineering & Orchestration

  • 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.

Data Quality & Governance

  • 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.

Cross-Functional Collaboration

  • 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.

Metadata & Cataloguing

  • 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.

Security & Compliance

  • Ensure data is stored and accessed securely, following best practices in encryption, role-based access, and regulatory compliance.

Key Skills

  • 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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Reliance Industries Limited logo
Reliance Industries Limited

Conglomerate (Petrochemicals, Refining, Telecommunications, Retail)

Mumbai

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