Posted on: 30/12/2025
Description :
Data Architecture & Design :
- Design and implement scalable, fault-tolerant, and high-performance data architectures supporting batch and streaming workloads.
- Define end-to-end data pipelines and platform architecture for large-scale data ingestion, processing, and consumption.
- Ensure architectural alignment with enterprise standards, cloud best practices, and long-term scalability goals.
Data Modeling & Integration :
- Design and maintain efficient data models (conceptual, logical, and physical) for analytics and operational use cases.
- Integrate data from multiple structured and unstructured sources, including databases, APIs, files, and event streams.
- Optimize data transformations and storage for performance, cost, and usability.
Big Data Technologies :
- Build and manage data processing solutions using big data frameworks and platforms (e.g., Spark, Hadoop, Kafka, Flink).
- Develop batch and real-time data pipelines using distributed computing technologies.
- Work with cloud-based big data services (AWS, Azure, or GCP) for ingestion, processing, and analytics.
Data Security & Governance :
- Implement data security, privacy, and access control mechanisms across the data ecosystem.
- Ensure compliance with regulatory requirements and internal governance policies.
- Define and enforce data quality, lineage, metadata management, and retention standards.
Collaboration & Stakeholder Management :
- Collaborate closely with data scientists, data engineers, analysts, and business stakeholders to deliver fit-for-purpose data solutions.
- Translate business requirements into technical designs and data architecture blueprints.
- Provide technical guidance, best practices, and recommendations to project teams and leadership.
Operational Excellence & Optimization :
- Monitor, troubleshoot, and optimize data pipelines for reliability and performance.
- Identify opportunities to improve system efficiency, reduce costs, and enhance data availability.
- Document architectures, data flows, and operational processes
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1595696