Data Engineer Manager

1 month ago


Mumbai, Maharashtra, India United Overseas Bank Full time

About the Role

We are seeking a highly skilled Data Engineer Manager to join our Group Technology team at United Overseas Bank. As a key member of our team, you will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, and L3 production fixes.

Key Responsibilities

  • Design and develop application frameworks for data integration
  • Create technical documents such as solution design, program specifications for target solutions
  • Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation
  • Maintain and recommend software improvements to ensure a platform centric management of software applications
  • Performance tuning
  • Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Requirements

  • Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:
  • Experience in Data Modeling, Data mapping for Data Warehouse and Data Marts solutions
  • Expertise in FSLM or similar industry models
  • Experience in functional domain - Retail , Wholesale, Compliance , Digital
  • Experience in analytics - Retail Analytics
  • Expertise in design of role based fine grained access control
  • Designing cloud ready data solutions, Virtualization

Technical Requirements

  • Expertise in implementing Teradata based EDW and Data mart solution using ETL tool such as (Informatica Power Centre, BDM), GCFR based framework, BTEQ scripts
  • Expertise in implementing Hadoop based Data mart using Spark based framework (Java, Scala, Pyspark)
  • Good knowledge and working experience in data loading into Teradata using different load pattern (TPT, MLOAD, FAST Load), data compression (MVC, BLC)
  • Expertise in implementing Data Governance tools; Data Lineage (eg: Informatica MM, EDC), Business Glossary and Data Quality
  • Expertise in implementing Reference data management (Data standardization, Hierarchy maintenance) using tools (eg: MDM,RDM)
  • Good knowledge and working experience in Teradata FSLM or similar industry standard data model
  • Expertise in Cloudera CDH / CDP components
  • Good knowledge in developing Spark based ingestion framework (Java, Scala, Pyspark)
  • Experience in building and operationalising feature pipeline to support AI/ML model execution, data pipelines for supporting large scale data warehouse/data marts

Desirable Technical Certifications

  • Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume
  • Teradata – Bteq, Query Grid, GCFR, MDM, Data Mover, BAR
  • Informatica Data Integration – PC, IDR, BDM, MM, IDQ, EDC
  • Data modelling tools (Erwin)
  • QlikSense
  • Microsoft – R
  • Data science workbenches – Cloudera Workbench, Jupyter, DataRobot, H2O.AI, IBM DSX
  • Data Virtualization tool (Denodo, Dremio)
  • AS400
  • Language – SQL, Java, Python, Scala, Pyspark
  • Automation / scripting – CtrlM, Shell Scripting, Groovy

About United Overseas Bank

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America.

We have centralized and standardized the technology components into Singapore, creating a global footprint which can be utilized for supporting our regional subsidiaries and the branches around the world.

We operate and support 19 countries with this architecture to provide a secure and flexible banking infrastructure.

Our Operations divisions provide transactional customer services for our businesses while also focusing on cost efficiency through process improvements, automation and straight through processing.



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