Must Have Skills
AWS
Databricks
pyspark
notebook UNITY catalog
Secondary Nice To Have Skills NOT MANDATORY
Informatica
MIDAS
Commercial insurance case management environments IAG background
Soft Skills
Strong communication both verbal and written
Stakeholder management
Able to guide and influence processes
Handson manual and detailoriented approach proficient with Excel email forms
3 Qualifying Questions
1How many AWS Databricks projects have you been part of and what all roles you have played
2How comfortable are you in Databricks pyspark notebook UNITY catalog hands role or highlevel understanding
3How many projects have you been part of as Databricks lead
4This role requires 3 days to client location is it ok with you
Role Summary
Data Specialist to support assessors and analysts by collecting and structuring data that represents risk and enabling informed decisions on what risk can be transferred to insurers The goal is to digitize and standardize risk data currently scattered across multiple unstructured sources and make it easily accessible and usable across the organization
Key Responsibilities
Collect and consolidate risk related data from unstructured sources into structured formats aligned to customers data dictionary and reference data
Build digital forms and workflows to capture data consistently
Populate and update central databases data lakes eg Databricks AWS Informatica MIDAS
Ensure data can flow effectively upstream and downstream across teams and systems
Drive data maturity within the team by improving processes and ensuring data is usable for decision making
JOB Description
We are looking for a Reference Data Specialist to join our Data Services team supporting largescale data and analytics initiatives for a leading global organization
This is an opportunity to be part of a high impact transformation program enhancing enterprise wide data quality governance and standardization
What Youll Do
Collaborate with business stakeholders to translate their data use cases into clear business and technical requirements
Analyse enterprise data ecosystems identify current data capabilities and align them with strategic outcomes
Coordinate with data governance and data quality teams to ensure adherence to global standards quality rules and remediation processes
Develop maintain and enhance data dictionaries enumerations reference data and classifications for consistency across systems
Support data governance initiatives by root causing and remediating data quality issues
Document data definitions rules and standards to enable consistent enterprise wide data usage
What Were Looking For
Experience in data design data governance or data management roles
Strong knowledge of data governance principles reference data and data dictionaries
Excellent stakeholder communication and collaboration skills
Familiarity with data modelling data design methodologies and platforms such as Databricks or similar
What Will Set You Apart
Experience within financial services or large enterprise environments
Working knowledge of Agile and SDLC methodologies
Handson experience with data profiling querying Oracle DB2 Databricks and visualization tools
Ability to work independently while managing priorities in a fastpaced setting
SkillsMandatory Skills : AWS EMR, AWS Glue, AWS S3, Solutioning NFRs
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