Application Developer

Valletta - Malta

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Data collection: create pipelines to interact with internal and external databases including web APIs. Design develop document and maintain processes for data collection integration transformation and dissemination including automation processes
Data mining and data analysis: Design develop document and maintain data analytics and statistical analysis products reports and surveys
Data processing: Design develop document maintain and ensure data quality data harmonization and cleaning
Prediction: Development of predictive models such as machine learning to identify relevant features and predict future events
Artificial Intelligence: Design develop document and maintain Artificial Intelligence and machine learning solutions including Natural Language Processing and generative AI techniques ensuring appropriate data quality validation and integration with existing data platforms
Data reporting: Design develop document and maintain BI models reports dashboard security and automation
Data visualization: Design and build interactive and attractive visualizations of data
Collaborate with data architect/engineer to design develop document and maintain data architecture data modelling and metadata
Facilitate analysis and integration processes on the overall data ecosystem including data governance by working with data providers to fill data gaps and/or to adjust source-system data structures
Participation in meetings with the project and data teams

Qualifications :

Mandatory:

Advanced data and statistical analysis techniques and tools using Python
Artificial Intelligence and machine learning techniques in Python including Natural Language Processing generative AI embeddings and semantic search
Creating reports visualizations and dashboards using Python (e.g. Databricks Jupyter notebooks voila dashboards) and Power BI
Development and data processing using Python for structured semi-structured and unstructured data types and related file format (e.g. JSON Parquet Delta)
Advanced Power BI Online Services and best governance practices
Gathering business requirements and transforming it into data collection integration and analysis processes
Knowledge of modelling libraries including OLS regression generalized linear models and machine-learning in Python
Data modelling principles and methods

Advantageous:

Advanced data and statistical analysis techniques and tools using R
Microsoft On-Prem and Azure Data Platform tools (such as Azure Data Factory Azure Functions Azure Logic Apps SQL Server ADLS Azure Databricks Microsoft Fabric/Power BI Azure DevOps Azure AI Services)
Databricks ecosystem Apache Spark and Python and R data processing libraries
SQL Power M and DAX
Data governance and data management standards policies processes metadata quality
Data Lakes and Data Lakehouse architecture concepts and governance
Master data and reference data management concepts
Business glossaries data dictionaries and data catalogues
DAMA Data Management best practices and standards
Web APIs OpenAPI standard and Survey tool

Remote Work :

Employment Type :

Full-time

Data collection: create pipelines to interact with internal and external databases including web APIs. Design develop document and maintain processes for data collection integration transformation and dissemination including automation processesData mining and data analysis: Design develop document ...

Data collection: create pipelines to interact with internal and external databases including web APIs. Design develop document and maintain processes for data collection integration transformation and dissemination including automation processes
Data mining and data analysis: Design develop document and maintain data analytics and statistical analysis products reports and surveys
Data processing: Design develop document maintain and ensure data quality data harmonization and cleaning
Prediction: Development of predictive models such as machine learning to identify relevant features and predict future events
Artificial Intelligence: Design develop document and maintain Artificial Intelligence and machine learning solutions including Natural Language Processing and generative AI techniques ensuring appropriate data quality validation and integration with existing data platforms
Data reporting: Design develop document and maintain BI models reports dashboard security and automation
Data visualization: Design and build interactive and attractive visualizations of data
Collaborate with data architect/engineer to design develop document and maintain data architecture data modelling and metadata
Facilitate analysis and integration processes on the overall data ecosystem including data governance by working with data providers to fill data gaps and/or to adjust source-system data structures
Participation in meetings with the project and data teams

Qualifications :

Mandatory:

Advanced data and statistical analysis techniques and tools using Python
Artificial Intelligence and machine learning techniques in Python including Natural Language Processing generative AI embeddings and semantic search
Creating reports visualizations and dashboards using Python (e.g. Databricks Jupyter notebooks voila dashboards) and Power BI
Development and data processing using Python for structured semi-structured and unstructured data types and related file format (e.g. JSON Parquet Delta)
Advanced Power BI Online Services and best governance practices
Gathering business requirements and transforming it into data collection integration and analysis processes
Knowledge of modelling libraries including OLS regression generalized linear models and machine-learning in Python
Data modelling principles and methods

Advantageous:

Advanced data and statistical analysis techniques and tools using R
Microsoft On-Prem and Azure Data Platform tools (such as Azure Data Factory Azure Functions Azure Logic Apps SQL Server ADLS Azure Databricks Microsoft Fabric/Power BI Azure DevOps Azure AI Services)
Databricks ecosystem Apache Spark and Python and R data processing libraries
SQL Power M and DAX
Data governance and data management standards policies processes metadata quality
Data Lakes and Data Lakehouse architecture concepts and governance
Master data and reference data management concepts
Business glossaries data dictionaries and data catalogues
DAMA Data Management best practices and standards
Web APIs OpenAPI standard and Survey tool

Remote Work :

Employment Type :

Full-time

Key Skills

APIs
MVC
SQL
Spring
.NET
ASP.NET
Microsoft SQL Server
C#
Angular
Application Development
JavaScript
Java

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About Company

ARHS

Ar?s is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, business intelligence and infrastructure services. We are composed of 17 entities across 9 countries that ... View more

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