Technical Specialist

HCLTech
Amsterdam, Netherlands
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Data Governance Extract Transform Load (ETL) Data Profiling Data Retention Data Warehousing Database Queries IBM InfoSphere DataStage IBM InfoSphere (ETL Tools) Meta-Data Management Scrum Methodology Sql Optimization
+2 more
Data Lakes Data Management

Job description

To conceptualize| design and deliver product / sustenance delivery through the team as per defined scope and standards in a particular technology Key Responsibilities

  1. To architect design and develop (through Team) solution for product/project & sustenance delivery
  2. To support as an SME
  3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
  4. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and deliver risks are mitigated
  5. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology
  6. To review project deliverables.
  7. To recommend client value creation initiatives and implement industry best practices (on specific technology/product)

Requirements

Data Management & Data Governance - hands-on experience (not just awareness) Data Warehousing & Dimensional Data Modelling - conceptual, logical, physical models SQL - advanced level (complex queries, data profiling, analysis) IBM DataStage - ING’s core ETL tool, must have working experience IBM InfoSphere Governance Catalog - metadata management (ING uses this daily) IBM Banking Data Warehouse Model - knowledge of banking data models (strong plus) Banking Domain Experience - mandatory, ING will not consider without this Data Quality & Data Retention - creating DQ rules, monitoring, governance Business / Data Analysis - ability to work with business stakeholders, translate requirements into specifications for engineers Agile / Scrum - sprint ceremonies, backlog, refinement

Good-to-Have: Data profiling, source-to-target mapping Data Lake concepts Experience working with Data Stewards, Architects, Product Owners

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