Interview: Phone interview followed by an F2F interview. Perhaps they will do just a phone interview. ‘We can push phone and skype and that shouldn’t be a problem.’
Communication skills: Must be very good.
Visa: Third party candidates are fine and there are no restrictions on Visas other than some other company must hold them.
JOB DESCRIPTION:
Primary functions: data architecture, data analysis and design, data standardization, data quality management, reference and master data management, data integration, data governance.
Primary Deliverables: Data architecture, data flow, logical models, physical source data models, data profiling reports and data audits, data definitions, data taxonomy, data insights, meta-data, data lineage, data cleansing services.
Activities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, profile|analyze|assess data quality, design data quality management procedures, clean and correct data quality defects, establish data governance. (Applies to ALL REQs)
Preferred candidate should:
Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolutions of problems.
Be able to translate data requirements into business processes and reverse engineer business processes into data requirements.
Comprehension of DevOps and Agile development and application to data centric architecture and solutions.
Strong communication and interpersonal skills with strong English proficiency.
Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team.
Minimum Bachelor’s Degree in Engineering Technology, Computer Science, or closely related field.
This is a hands-on role and the consultant should be able to work independently with business and also in a team environment.
Technical Competencies:
Advanced expert database handling languages (SQL Stored Procedures and variants).
Expert in performance tuning Oracle/SQL Server procedures.
Expert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/de-normalize, agile data modeling.
Expert in data manipulation tools such as: SSMS, SSIS, TOAD, Access, Excel.
Expert in ETL tools preferably SAP Data Services.
Working knowledge of SAP and ability to identify the SAP Tables quickly.
Good to Expert Knowledge on SAP FICO and Sales & Distribution.
Practical skill sets in Data visualization tools preferably Tableau.
Knowledge of other programming languages and ability to write code (i.e. ABAP, Python).
A minimum of 5 years’ experience in SAP Data Management and Governance, SAP Data Services (Data Extract, Data Profiling, de-duplication).
Advanced competency in TOAD for Oracle, SQL Server Database, SAP HANA (Modeling, SDI, Stored Procedures) and Tableau.
A minimum of 5 years’ experience in SAP Data Management and Governance, SAP Data Services (Data Extract, Data Profiling, de-duplication).
Advanced competency in TOAD for Oracle, SQL Server Database, SAP HANA (Modeling, SDI, Stored Procedures) and Tableau.
Basic Project Management and Business Process modeling.