Job Summary

. Senior AtScale Developer (2)

Role Overview

We are looking for a Senior AtScale Developer responsible for developing, configuring, testing, optimizing, and supporting enterprise semantic models using AtScale.

The candidate should have strong hands-on experience in AtScale development, SQL, dimensional modeling, BI integration, and performance optimization, along with experience working with modern cloud data platforms.

Key Responsibilities

- Design, develop, configure, and maintain AtScale semantic models.
- Build dimensions, measures, hierarchies, calculated metrics, relationships, and business KPIs based on business requirements.
- Translate reporting and analytical requirements into reusable semantic models.
- Integrate AtScale models with underlying cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric/Azure.
- Enable semantic model consumption through Power BI, Tableau, Excel, Looker, and other analytical tools.
- Develop and optimize SQL required for semantic-model implementation and troubleshooting.
- Analyze query performance and optimize models to improve BI/reporting response times.
- Work with data engineers to resolve issues in source models, fact/dimension structures, transformations, or data quality.
- Conduct unit testing, integration testing, regression testing, and performance testing of semantic models.
- Validate measures and business calculations against source data and agreed business definitions.
- Troubleshoot production issues related to semantic models, data, queries, security, or BI consumption.
- Support deployment and release activities across development, test, and production environments.
- Maintain technical documentation covering semantic models, calculations, dependencies, and deployment configurations.
- Work with architects and BI developers to ensure consistent implementation of enterprise semantic standards.
- Participate in code/model reviews and contribute to reusable development standards and best practices.

Required Skills

- Strong hands-on AtScale development experience.
- Strong understanding of semantic modeling and multidimensional concepts.
- Hands-on experience building:
- - Dimensions
- Measures
- Hierarchies
- Relationships
- Calculated metrics
- Business KPIs

- Advanced SQL skills.
- Strong understanding of dimensional data modeling, including fact/dimension and star-schema designs.
- Experience with Databricks, Snowflake, BigQuery, Microsoft Fabric/Azure, or comparable cloud platforms.
- Experience integrating semantic models with BI tools such as Power BI or Tableau.
- Experience troubleshooting query and analytical performance.
- Understanding of SDLC, source control, testing, and deployment practices.

Preferred Skills

- Experience working with large datasets and enterprise analytical workloads.
- Databricks/Snowflake certifications or equivalent cloud/data certifications.
- Knowledge of lakehouse architectures and Delta Lake.
- Experience with metadata management and data governance.
- Exposure to CI/CD and automated deployment.
- Experience in Healthcare and Life Sciences environments is beneficial.

Experience

- 7+ years of Data & Analytics / BI development experience.
- 2+ years preferred of hands-on AtScale or comparable enterprise semantic-layer development.
- Demonstrated experience delivering semantic models for enterprise BI/reporting use cases.

Key Responsibilities

. Senior AtScale Developer (2)

Role Overview

We are looking for a Senior AtScale Developer responsible for developing, configuring, testing, optimizing, and supporting enterprise semantic models using AtScale.





The candidate should have strong hands-on experience in AtScale development, SQL, dimensional modeling, BI integration, and performance optimization, along with experience working with modern cloud data platforms.

Key Responsibilities

- Design, develop, configure, and maintain AtScale semantic models.
- Build dimensions, measures, hierarchies, calculated metrics, relationships, and business KPIs based on business requirements.
- Translate reporting and analytical requirements into reusable semantic models.
- Integrate AtScale models with underlying cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric/Azure.
- Enable semantic model consumption through Power BI, Tableau, Excel, Looker, and other analytical tools.
- Develop and optimize SQL required for semantic-model implementation and troubleshooting.
- Analyze query performance and optimize models to improve BI/reporting response times.
- Work with data engineers to resolve issues in source models, fact/dimension structures, transformations, or data quality.
- Conduct unit testing, integration testing, regression testing, and performance testing of semantic models.
- Validate measures and business calculations against source data and agreed business definitions.
- Troubleshoot production issues related to semantic models, data, queries, security, or BI consumption.
- Support deployment and release activities across development, test, and production environments.
- Maintain technical documentation covering semantic models, calculations, dependencies, and deployment configurations.
- Work with architects and BI developers to ensure consistent implementation of enterprise semantic standards.
- Participate in code/model reviews and contribute to reusable development standards and best practices.

Required Skills

- Strong hands-on AtScale development experience.
- Strong understanding of semantic modeling and multidimensional concepts.
- Hands-on experience building:
- - Dimensions
- Measures
- Hierarchies
- Relationships
- Calculated metrics
- Business KPIs

- Advanced SQL skills.
- Strong understanding of dimensional data modeling, including fact/dimension and star-schema designs.
- Experience with Databricks, Snowflake, BigQuery, Microsoft Fabric/Azure, or comparable cloud platforms.
- Experience integrating semantic models with BI tools such as Power BI or Tableau.
- Experience troubleshooting query and analytical performance.
- Understanding of SDLC, source control, testing, and deployment practices.

Preferred Skills

- Experience working with large datasets and enterprise analytical workloads.
- Databricks/Snowflake certifications or equivalent cloud/data certifications.
- Knowledge of lakehouse architectures and Delta Lake.
- Experience with metadata management and data governance.
- Exposure to CI/CD and automated deployment.
- Experience in Healthcare and Life Sciences environments is beneficial.

Experience

- 7+ years of Data & Analytics / BI development experience.
- 2+ years preferred of hands-on AtScale or comparable enterprise semantic-layer development.
- Demonstrated experience delivering semantic models for enterprise BI/reporting use cases.

Skill Requirements

.



Senior AtScale Developer (2)

Role Overview

We are looking for a Senior AtScale Developer responsible for developing, configuring, testing, optimizing, and supporting enterprise semantic models using AtScale.

The candidate should have strong hands-on experience in AtScale development, SQL, dimensional modeling, BI integration, and performance optimization, along with experience working with up-to-date cloud data platforms.

Key Responsibilities

- Design, develop, configure, and maintain AtScale semantic models.
- Build dimensions, measures, hierarchies, calculated metrics, relationships, and business KPIs based on business requirements.
- Translate reporting and analytical requirements into reusable semantic models.
- Integrate AtScale models with underlying cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric/Azure.
- Enable semantic model consumption through Power BI, Tableau, Excel, Looker, and other analytical tools.
- Develop and optimize SQL required for semantic-model implementation and troubleshooting.
- Analyze query performance and optimize models to improve BI/reporting response times.
- Work with data engineers to resolve issues in source models, fact/dimension structures, transformations, or data quality.
- Conduct unit testing, integration testing, regression testing, and performance testing of semantic models.
- Validate measures and business calculations against source data and agreed business definitions.
- Troubleshoot production issues related to semantic models, data, queries, security, or BI consumption.
- Support deployment and release activities across development, test, and production environments.
- Maintain technical documentation covering semantic models, calculations, dependencies, and deployment configurations.
- Work with architects and BI developers to ensure consistent implementation of enterprise semantic standards.
- Participate in code/model reviews and contribute to reusable development standards and best practices.

Required Skills

- Strong hands-on AtScale development experience.
- Strong understanding of semantic modeling and multidimensional concepts.
- Hands-on experience building:
- - Dimensions
- Measures
- Hierarchies
- Relationships
- Calculated metrics
- Business KPIs

- Advanced SQL skills.
- Strong understanding of dimensional data modeling, including fact/dimension and star-schema designs.
- Experience with Databricks, Snowflake, BigQuery, Microsoft Fabric/Azure, or comparable cloud platforms.
- Experience integrating semantic models with BI tools such as Power BI or Tableau.
- Experience troubleshooting query and analytical performance.
- Understanding of SDLC, source control, testing, and deployment practices.

Preferred Skills

- Experience working with large datasets and enterprise analytical workloads.
- Databricks/Snowflake certifications or equivalent cloud/data certifications.
- Knowledge of lakehouse architectures and Delta Lake.
- Experience with metadata management and data governance.
- Exposure to CI/CD and automated deployment.
- Experience in Healthcare and Life Sciences environments is beneficial.

Experience

- 7+ years of Data & Analytics / BI development experience.
- 2+ years preferred of hands-on AtScale or comparable enterprise semantic-layer development.
- Demonstrated experience delivering semantic models for enterprise BI/reporting use cases.

Must Have Skill

Azure Data Factory (ADF),Azure Databricks,Snowflake

Good to Have Skill

Analytics (BI) - Power BI/Tableau/OBIEE/SQL,Data Analytics,Healthcare

Other Requirements

📌 Senior Data Lead - Azure Data Factory (ADF), Databricks (India)
🏢 HCLTech
📍 India