Assistant Vice President – Technology, Information Management, Data Warehouse

🕒 September 7

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Logo of Mashreq

Mashreq

1001 - 5000 employees

Founded 1967

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.

📋 Description

• Lead and mentor a diverse team of data warehouse specialists • Architect and implement data warehouse designs aligned with business needs and strategic objectives • Manage and optimize data operations, including ingestion, transformation, and loading • Collaborate with business units and IT teams to translate data requirements into technical specifications • Identify opportunities for platform enhancements and upgrades • Ensure data warehouse security and governance, including compliance measures • Lead data platform patching and maintenance to maintain availability, performance, and reliability • Build relationships with internal and external stakeholders to support data-informed decision-making • Create and deliver reports and presentations to senior leadership on data warehouse performance and key metrics

🎯 Requirements

• A bachelor's degree in Computer Science, Information Technology, or a related field is required; a master's degree is preferred • A minimum of 10 years of experience in data warehousing, with a proven track record of leading complex data platforms and initiatives • In-depth knowledge and hands-on experience with Cloudera, Kafka, Azure Cosmos DB, Data Bricks, and NoSQL platforms • Strong leadership and mentorship skills • Excellent communication and collaboration abilities • History of successful data warehousing projects and understanding of industry best practices • Experience in data security and governance, regulatory compliance, and robust security measures • Familiarity with data platform upgrades and patching • Analytical thinking and ability to interpret complex data • Proactive and innovative problem-solving approach • Staying updated on emerging technologies and industry trends

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