
Strategic Data Engineer
3 days ago
Key Responsibilities:
- Develop and maintain scalable real-time & batch data pipelines to support increasing data demands.
- Establish data domains across banking products and lay the foundation for Data Mesh architecture while ensuring data security, governance, and compliance.
- Oversee ETL processes, data modelling, integration, orchestration, and automation for seamless data operations.
- Work with analysts, data scientists, and business teams to improve data models, enhance accessibility, and enable data-driven decision-making.
- Provide L2/L3 support, debug data issues, and ensure high availability & quality of production data.
- Implement risk controls, audit reviews, RCSA, and maintain compliance with data privacy regulations through access controls, encryption, and masking.
- Identify and mitigate bottlenecks, forecast storage & processing needs, and ensure a scalable data infrastructure.
Key Qualifications:
- Expertise in core banking, retail, digital, marketing, risk, and compliance systems across multiple regions (UAE, Egypt, Pakistan, etc.).
- Deep knowledge of Enterprise Data Lake, Azure Data Lake, BI, Advanced Analytics, and Real-time Streaming platforms.
- Strong understanding of data engineering principles, including design, development, and maintenance of scalable real-time & batch data pipelines.
- Ability to work collaboratively with analysts, data scientists, and business teams to improve data models and enhance accessibility.
- Excellent communication and problem-solving skills.
Benefits:
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative and dynamic work environment.
- Competitive compensation and benefits package.
Others:
- Staying updated on industry trends and implementing emerging technologies.
- Continuously improving data engineering processes.
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