Lead Platform Owner - Big Data
United Arab Emirates
The LPO- Data Platform will lead a team of Data practitioners – senior data engineers, data engineers, and technical engineers.
The role is responsible for all data platforms used at the Bank including Hadoop, SAP HANA, Informatica, SAS, Sybase, Co and Microsoft Power BI. The role is required to work closely with Business and Technology stakeholders.
This role involves ensuring the data platforms are meeting security requirements, are used efficiently by different workloads e.g., applications, data scientists, analytical users. There is also the need to audit and monitor activity. A key part of the role is resource management e.g., working with resource and product vendors scaling to provide resources to meet delivery demand. A key requirement is Servant Leadership, creating an environment where the engineers are empowered and encouraged to grow and build expertise and ownership. The role involves team management including recruiting of FTE and contractors and ensuring individuals’ careers and performance is managed according to HR policies.
The role requires an Agile mindset as well as building an Agile culture as defined by the LEAP Strategy. The role also is required to adopt a continuous improvement approach to delivery and automation implementation e.g., DevOps, CI/CD.
Key Tasks:-
- Data Platform Management
- Data Platform Utilization
- Team management
- Financial management
- Automation
Skills & Experience:-
- Bachelor of Computer Science or Equivalent
- Relevant Certification
- Minimum 10 years of professional experience in Banking & Finance industry
- Minimum 5 years professional experience in Data Warehouse and Analytics
- Knowledge/exposure to Modern Data Warehouse Architecture and Analytics platforms
- Agile working practices
- 2 years Data Engineering experience or analytics experience
- 2 years’ experience of DevOps, CI/CD
- 5 years’ experience of managing large team >8
- 4+ years of working experience with ETL tool, preferably Informatica.
- Solid knowledge of Data Warehouse principles
- 5 years’ Experience of working with Hadoop or HANA,
- Experience of working with Hadoop related tools e.g., Spark, Scoop
- 2 years’ Experience of working in Agile teams as part of a squad.
- 2-year Experience of technical aspects of Data Governance including glossary, metadata, data quality, master data management & data lifecycle management
- Should have excellent problem-solving and time management skills.
- Strong analytical thinking skills
- Work collaboratively as part of a team.
- Clear and demonstrative communication
- Drive Innovation and continuous improvement
- Self-learner, continues to update their skills and knowledge base.
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ENBD
Meet the leading banking group in the regionEmirates NBD, the leading Banking Group in the MENAT region, was formed on 19 June 1963, when H.H. Late Sheikh Rashid bin Saeed Al Maktoum signed the Charter of Incorporation of the National Bank of Dubai (NBD) which became the first National Bank established in Dubai and the United Arab Emirates (UAE). With the blessings of H.H. Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai, NBD merged with Emirates Bank International (EBI) on 06 March 2007, to form Emirates NBD, the largest banking group in the region by assets. On 16 October 2007, the shares of Emirates NBD were officially listed on the Dubai Financial Market (DFM). The merger between EBI and NBD to create Emirates NBD, became a regional consolidation blueprint for the banking and finance sector as it combined the second and fourth largest banks in the UAE to form a banking champion capable of delivering enhanced value across Corporate, Retail, Islamic, Investment, and Private Banking, Global Markets & Treasury, Asset Management and Brokerage operations throughout the region.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Banking Big Data CI/CD Computer Science Data governance Data management Data quality Data warehouse DevOps Engineering ETL Finance Hadoop Informatica Power BI SAS Security Spark
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