Master Data Analyst (3 OPENINGS!)

Data Engineer

Location: Deerfield Beach, FL (Hybrid) Must be onsite every day for the first 3 weeks then hybrid onsite after that)

Duration: 12 Months

Work Requirements: US Citizen, GC Holders

Qualifications

Strong technical knowledge / expertise.

Experienced In Data Research, Strong Technical Requirements Gathering.

strong SQL knowledge and data retrieval skills required.

• Experience with:
  
  

Collibra is a plus, not required

Data Mapping

Data Mining

Data Cleansing

Data Validation

Data Integrity

knowledge of COBOL / DB2 / Informatica a plus.

Ability to use SAS is a plus.

Responsibilities

Sr. Data Engineer will be responsible developing an understanding of the relationship of the data that supports business processes and applications.

The analyst will gain insights into the data and the movement of the data from data entry to final data destinations in the back end files and reporting systems.

Candidates must possess the technical capabilities to extract, retrieve and analyze data on their own.

Be able to dive in and research new and complex data sources to understand how the data is moving in the system and how the data is stored in order to identify any anomalies that may exist.

The analyst should possess strong interpersonal communication skills to be able to bridge the gap between business and technical users to relay both business and technical concepts as it relates to data.

The analyst will be required to document findings and ensure that mappings and lineage are well documented and stored into knowledge storage repositories.

This assignment is for a project that will interact with business and IT to understand business processes and the related data.

Must be able to be on a hybrid schedule (Deerfield Beach office) with flexibility to be in the office more, as required

• Wants someone to look at the SQL & understand what is happening to the data
• Look at the data for patterns, be able to take it from technical terms to business terms
• Needs someone technical look at the codes and do that research and translate that visual and verbally
• Documentation and source of target mapping and transformations
• Where is the best data source?
• They document it in governance tools
  
  

Azure Data Migration is what is happening today

They have SQL databases and SAS data sets

All their current data is being lifted and put into Azure

They must be out of that environment by 2024

Modernization that are currently replacing our core data systems in mainframe, starting April 1st which is supposed to last about a year

PowerBI is a tool they need to use - SAS and Tableau and SQL but doesn't have to be a heavy hitter on that

SAS PowerBI, informatica they don't need to have all 3

She will take Informatica over SAS and PowerBI

• Key thing is data mining with SQL***
  
  

Communication & Culture is KEY

Environment: DB Visualizer, AWS, Azure, Mainframe, DB2, Terradata