CORP_Data Management_Associate
J.P. Morgan
Mumbai, Maharashtra, India
3d ago

Job Description

The Reference Data Quality Associate will manage work with Data Domain teams operations, product owners and technology partners to help build a business and data quality rule inventory.

The individual will also execute DQ rules using Firmwide technologies (e.g. Informatica IDQ), analyze rule results and establish production models across authoritative data source databases.

Responsibilities

Provide Reference data knowledge support to help build DQ rule inventory

Business / Data analysis of Reference data issues

Data Rule Execution result reporting

Prepare DQ Health Metrics, Dashboard, Trend analysis

Work with technology partners to establish DQ Infrastructure projects

University Graduate

5+ years of experience in financial services or related industries

6 -10 yrs of experience in Informatica Data quality (9x / 10x), focused on profiles, scorecards, mapplets and business rules.

Experience working complex transformations including update strategies, routers, normalizer etc

Define Data Quality Rules, data quality dimensions and ETL and Operational metadata.

Strong in defining and analyzing data analytics respective to domains, technically involed with any reporting tool like qlikview, tableau etc.

Familiarity with Investment Banking Data.

Strong hands-on experience with SQL & PL / SQL

Prior Experience with scheduling tools such as Autosys, TIDAL etc.

Strong understanding of Data Warehouse / MDM concepts (ETL, Star Schema, slowly changing dimensions).

Proficient in shell scripting and performance tuning within a Unix / Linux Environment

Strong knowledge data profiling, data discovery and root cause analysis

Implementing data integration solutions using Informatica and Autosys

Strong communication skills

Ability to manage global partners and requestors

Controls and innovation mindset

Good People Skills and ability to drive energy levels within the team

Good Analytical and Problem Solving Skills

Excellent Time Management Skills and highly result oriented

Basic SQL skills(optional)

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