Assistant Vice President - Technology.MGN Pak - TECH - Data Warehouse.MIT - PAKCOE

🏢 mashreq
📍 PakistanFull-timeRemote
📅 Posted: 2mo ago🔄 Updated: 2mo ago
CV%
✨ AI Summary
The Assistant Vice President - Big Data & Data Lake role is part of the Enterprise Data Platform stream, responsible for delivering and supporting platforms across Hadoop, DWH, ETL, Reporting & Analytics. This critical role influences bank's management decision making, regulatory reporting, and operational reporting. The position requires extensive experience in data warehousing and data lakes, with a strong focus on Big Data technologies, cloud services, and database management.
Required Skills
Information Technology
Apache SparkPythonKafkaHiveCouchbaseHadoopAzureAWSOracle DatabaseSQL ServerSQLInformaticaData ModelingData Governance
Other
SqoopAmbariPL/SQLCDC
Requirements
Requires 13+ years of experience in data warehousing and data lakes (Hadoop), with at least 5+ years in Big Data Development, Design & Architecture using Spark, Python, Kafka, Sqoop, Ambari, Hive, HBase, HDFS. Experience in cloud services (Azure/AWS) for data, strong DB knowledge in Oracle/SQL Server, and proficiency in SQL, PL/SQL, Data Management Fundamentals, Informatica BDM, and CDC are essential. Knowledge in Data Modeling, Data Governance, and Data Security is also required.
Description

Job Title

Assistant Vice President - Big Data & Data Lake

Job purpose:

The Enterprise Data Platform stream delivers outcomes to help different parts of the bank gain meaningful insights from their Data Assets. Our core function spans multiple Data Warehouses, Hadoop, Business Intelligence and Analytics Cluster within Information Management.

The work involves providing delivery and support of platforms spanning over Hadoop, DWH, ETL, Reporting & Analytics application landscape. You will be handling critical applications that influence bank’s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.

Core Skills:

  • 13+ Years of Total Experience in data area DWH and Data lake(Hadoop)
  • At least 5+ Years of Expertise & Knowledge in Big Data Development, Design & Architecture Spark, Python, Kafka, Sqoop, Ambari, Hive, HBase, HDFS
  • Experience in cloud services(Azure/AWS) for data.
  • Strong DB knowledge in Oracle/SQL Server
  • Strong in writing SQL, PL/SQL
  • Sound in Data Management Fundamentals
  • Knowledge in Informatica BDM and CDC

Knowledge in Banking will be a plus

  • Should have managed successful execution of minimum 3 large engagements into production go live.
  • Sound in Data Management Fundamentals and Data Architect, Modelling, Governance and Data security.
  • Experience in DWH to Data Lake offloading.
  • Experience in designing frameworks using No Code/Low code technologies.

Proficient in Data Modeling and Data Governance concepts

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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00