Lead Data Modeller

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Senior Recruitment Consultant at Talent International

The opportunity

Our client is a community focused federal government agency. They have an exciting opportunity available for an EL1 Lead Data Modeller to help lead Modelling Activity for multiple Initiatives and undertake Data Dictionary Management for this Agency.

These will be a 12-month initial contract with a further 12 month extensions possible, offering open market hourly rates. Our client can base this role out of Richmond or Geelong, supporting hybrid working with 2-3 days on site per week, with the remainder from home.

Your responsibilities will include:

• Set peer review and data modelling release standards.
• Provide knowledge transfer sessions on best practices on development, data modelling, release process etc.
• Own the technical implementation of new data from analysis to delivery (designing and delivering data dictionary, defining the release steps, defining best practices of data modelling and review steps).
• Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to team. Prioritise work items and add them to a work queue.
• Understand, analyse and size user requirements;
• Development and maintenance of SQL analytical and ETL code;
• Development and maintenance of system documentation;
• Collaboration with data consumers, database development, testers and IT support teams;

*Please note that Australian Citizenship is requirement to be eligible to work for this Federal Government Agency*

About you

• MS SQL / Teradata /Snowflake / Redshift / Databricks - Demonstrated competency in developing, auditing and reviewing code in 2 out of the 5 Data Warehouses listed
• Ability to understand DevOps process and can use DevOps tools in accordance with the process
• High level of competency in Programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java
• Ability to demonstrate knowledge of version controls and its appropriate uses
• Strong expertise with SQL, including experience with reverse-engineering end user SQL code
• Minimum of 4 years in a similar role, with exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment
• Competency with required systems, software and programs, including SAS and Excel
• Ability to read and interpret data models and specifications, experience working in an agile environment

APPLY

Submit your resume, or for further information please contact Liam.lasslett@talentinternational.com

The opportunity

Our client is a community focused federal government agency. They have an exciting opportunity available for an EL1 Lead Data Modeller to help lead Modelling Activity for multiple Initiatives and undertake Data Dictionary Management for this Agency.

These will be a 12-month initial contract with a further 12 month extensions possible, offering open market hourly rates. Our client can base this role out of Richmond or Geelong, supporting hybrid working with 2-3 days on site per week, with the remainder from home.

Your responsibilities will include:

• Set peer review and data modelling release standards.
• Provide knowledge transfer sessions on best practices on development, data modelling, release process etc.
• Own the technical implementation of new data from analysis to delivery (designing and delivering data dictionary, defining the release steps, defining best practices of data modelling and review steps).
• Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to team. Prioritise work items and add them to a work queue.
• Understand, analyse and size user requirements;
• Development and maintenance of SQL analytical and ETL code;
• Development and maintenance of system documentation;
• Collaboration with data consumers, database development, testers and IT support teams;

*Please note that Australian Citizenship is requirement to be eligible to work for this Federal Government Agency*

About you

• Strong demonstrated experience data modelling using metadata/model driven frameworks
• MS SQL / Teradata /Snowflake / Redshift / Databricks - Demonstrated competency in developing, auditing and reviewing code in 2 out of the 5 Data Warehouses listed
• Ability to understand DevOps process and can use DevOps tools in accordance with the process
• High level of competency in Programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java
• Ability to demonstrate knowledge of version controls and its appropriate uses
• Strong expertise with SQL, including experience with reverse-engineering end user SQL code

Desirable criteria

• Minimum of 4 years in a similar role, with exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment
• Competency with required systems, software and programs, including SAS and Excel
• Ability to read and interpret data models and specifications, experience working in an agile environment

APPLY

Submit your resume, or for further information please contact Liam.lasslett@talentinternational.com

Desired Skills and Experience

Strong demonstrated experience data modelling using metadata/model driven frameworks
MS SQL / Teradata /Snowflake / Redshift / Databricks - Demonstrated competency in developing, auditing and reviewing code in 2 out of the 5 Data Warehouses listed
Ability to understand DevOps process and can use DevOps tools in accordance with the process
High level of competency in Programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java
Ability to demonstrate knowledge of version controls and its appropriate uses
Strong expertise with SQL, including experience with reverse-engineering end user SQL code

Desirable criteria

Minimum of 4 years in a similar role, with exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment
Competency with required systems, software and programs, including SAS and Excel
Ability to read and interpret data models and specifications, experience working in an agile environment
Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeContract

Job function

• Job functionInformation Technology
• IndustriesData Infrastructure and Analytics

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