Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE
Mashreq is hiring a Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE for a remote role open to applicants in Pakistan. Level rates it ; you can apply on Mashreq.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Azure, data engineering and etl among its tools and skills.
- Level classes it as a senior role.
- Mashreq has 413 other open roles on Level.
AI in this role
Design and maintain real-time and batch data pipelines across enterprise platforms as a Senior Data Engineer.
- Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
- This role requires to have a knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.
- Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
- The work involves developing new requirements in both on-premises and cloud data lake’s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank’s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
How we rate this
Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE at Mashreq rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
- Walk me through how you've used Azure in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Data Architecture, Data Warehousing, and Azure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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