Application Data Modeler Job at Akaasa Technologies, Remote

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  • Akaasa Technologies
  • Remote

Job Description

POSITION

Application Data modeler

LOCATION

Remote PST & EST Candidates Only!

REQUIRED SKILLS

Please note: we are not looking for a pure data modeler or a data warehouse focused profile. This role requires application-level transactional data modeling, OLTP, 3NF not reporting-centric modeling.

(This is not Datawarehouse/BI/Big data role but application data modeler)

Must haves :

  • Interactive software applications
  • Online transactions (OLTP systems)
  • Database design
  • Data modeling (conceptual, logical, physical)
  • Relational databases
  • Normalization (3NF)
  • Data governance

What the Role Will Do (Day to Day)

The data modeler will initially align with one software team (out of 10+).

Core responsibility:

o Take raw payloads from third party data vendors (example mentioned: replacement cost data vendors)

  • Normalize that data into a relational database so it can be used downstream

Key activities include:

o Analyzing incoming vendor data payloads

o Collaborating with:

Software engineers

Product managers

Architects

Engineering managers

o Designing relational schemas using a data modeling tool

o Ensuring databases follow relational normalization principles (e.g., 3rd normal form)

o Supporting database release into environments

o Heavy documentation of tables and columns so data is clearly understood across the organization

Time split estimate:

o ~50% hands on modeling

o ~50% analysis, coordination, and cross functional collaboration

Tools, Technologies, and Environment

Primary data modeling tool: DB Schema

o Experience with other tools (ERwin, etc.) is acceptable

Database: PostgreSQL

o Experience with MySQL or Oracle is acceptable

SQL: Required

o Tool generates most SQL, but the candidate must:

Review generated SQL

Write custom SQL when needed

Spot issues and inaccuracies

Metadata / Data catalog platform: Alation

o Comparable tools (e.g., Collibra) are acceptable

  • Focus is on understanding data catalog principles, not just the tool

Architecture context:

o Microservices based applications

o Engineers primarily write Java

o The data modeler does not code microservices, but must:

Understand how microservices interact with databases

Act as a counterbalance when data design needs to be re thought

AI tools: The organization has licensed AI tools internally (e.g., corporate chat tools), but no specific AI development responsibility was assigned to this role.

Methodology: Agile

Top Requirements (Must haves)

Scripting:

o SQL

o Modeling tool once you have done the design on your tables, the modeling tool can generate the SQL. It is important that the resource understands SQL and the different dialicts of SQL. But they don't have to be an expesrt in PostGres.

PostGres is the main database. They need to have MySql and Oracle experience to understand PostGres

o DB Schema main modeling tool

But would accept Irwin or ER studio or online cloud datamodeling solution any of those would be acceptable.

Job Tags

Remote work

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