We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team. The scope is to generate insights for data driven decision making in the customer service/aftermarket domain
*Description for Internal Candidates
Job Summary:
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, Snowflake, and DBT.
Requirements:
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Experience with Snowflake as a data warehouse platform and DBT for transformations.
• Strong SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
*Responsibilities for Internal Candidates
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks, Snowflake, and DBT.
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Data Transformation: Implement transformations in DBT, standardizing data for analysis and reporting.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
Qualifications:
• Having relevant Experience in MS Azure, Snowflake, DBT& Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Hadoop, Spark, Hive/Databricks
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Understanding / Implementation experience with CICD tools such as Jenkins, Azure DevOps, GITHUB is desirable.
Responsibilities
We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team. The scope is to generate insights for data driven decision making in the customer service/aftermarket domain
*Description for Internal Candidates
Job Summary:
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, Snowflake, and DBT.
Requirements:
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Experience with Snowflake as a data warehouse platform and DBT for transformations.
• Strong SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
*Responsibilities for Internal Candidates
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks, Snowflake, and DBT.
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Data Transformation: Implement transformations in DBT, standardizing data for analysis and reporting.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
Qualifications:
• Having relevant Experience in MS Azure, Snowflake, DBT& Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Hadoop, Spark, Hive/Databricks
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Understanding / Implementation experience with CICD tools such as Jenkins, Azure DevOps, GITHUB is desirable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Summary
We are seeking an experienced Business Intelligence (BI) professional with 7–8 years of hands-on experience in designing, developing, and maintaining BI solutions. The ideal candidate should have strong working knowledge of Power BI and other BI tools such as IBM Cognos, with a solid foundation in data modeling, reporting, and analytics to support business decision-making.
Key Responsibilities
Design, develop, and deploy interactive dashboards and reports using Power BI.
Develop and maintain enterprise BI solutions using IBM Cognos (Report Studio, Framework Manager).
Collaborate with business stakeholders to understand reporting requirements and translate them into effective BI solutions.
Perform data modeling, transformation, and optimization using Power BI (Power Query, DAX).
Build and manage semantic layers, datasets, and data sources to ensure consistency and accuracy.
Ensure data quality, performance tuning, and optimization of BI reports and dashboards.
Integrate data from multiple sources including databases, data warehouses, APIs, and flat files.
Support UAT, production deployments, and ongoing enhancements of BI solutions.
Provide documentation, training, and knowledge transfer to end users and support teams.
Follow best practices for BI governance, security (row-level security), and version control.
Required Skills & Qualifications
7–8 years of experience in Business Intelligence and Analytics.
Strong expertise in Power BI (Desktop, Service, DAX, Power Query).
Hands-on experience with IBM Cognos (Report Studio, Framework Manager).
Strong understanding of data warehousing concepts, star/snowflake schemas.
Proficient in SQL for data extraction, transformation, and analysis.
Experience working with large and complex datasets.
Ability to analyze business requirements and provide data-driven insights.
Strong communication skills with the ability to work with cross-functional teams.
Preferred Skills
Experience with cloud platforms (Azure, AWS, or GCP) and cloud data sources.
Exposure to other BI tools such as Tableau, Qlik, or similar.
Knowledge of ETL tools and data pipelines.
Experience in Agile/Scrum delivery environments.
Manufacturing, automotive, or enterprise reporting experience is a plus.
Educational Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Analytics, or a related field.
Responsibilities
Job Summary
We are seeking an experienced Business Intelligence (BI) professional with 7–8 years of hands-on experience in designing, developing, and maintaining BI solutions. The ideal candidate should have strong working knowledge of Power BI and other BI tools such as IBM Cognos, with a solid foundation in data modeling, reporting, and analytics to support business decision-making.
Key Responsibilities
Design, develop, and deploy interactive dashboards and reports using Power BI.
Develop and maintain enterprise BI solutions using IBM Cognos (Report Studio, Framework Manager).
Collaborate with business stakeholders to understand reporting requirements and translate them into effective BI solutions.
Perform data modeling, transformation, and optimization using Power BI (Power Query, DAX).
Build and manage semantic layers, datasets, and data sources to ensure consistency and accuracy.
Ensure data quality, performance tuning, and optimization of BI reports and dashboards.
Integrate data from multiple sources including databases, data warehouses, APIs, and flat files.
Support UAT, production deployments, and ongoing enhancements of BI solutions.
Provide documentation, training, and knowledge transfer to end users and support teams.
Follow best practices for BI governance, security (row-level security), and version control.
Required Skills & Qualifications
7–8 years of experience in Business Intelligence and Analytics.
Strong expertise in Power BI (Desktop, Service, DAX, Power Query).
Hands-on experience with IBM Cognos (Report Studio, Framework Manager).
Strong understanding of data warehousing concepts, star/snowflake schemas.
Proficient in SQL for data extraction, transformation, and analysis.
Experience working with large and complex datasets.
Ability to analyze business requirements and provide data-driven insights.
Strong communication skills with the ability to work with cross-functional teams.
Preferred Skills
Experience with cloud platforms (Azure, AWS, or GCP) and cloud data sources.
Exposure to other BI tools such as Tableau, Qlik, or similar.
Knowledge of ETL tools and data pipelines.
Experience in Agile/Scrum delivery environments.
Manufacturing, automotive, or enterprise reporting experience is a plus.
Educational Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Analytics, or a related field.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
We are looking for Senior Data Engineer for our Advanced Analytics and Big Data Team. The scope is to generate insights for data driven decision making in the customer service/aftermarket domain *Description for Internal Candidates Job Summary: We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, Snowflake, and DBT. Requirements: • Bachelor’s in Computer Science, Data Engineering, or related field. • Proficiency in Azure Databricks for data processing and pipeline orchestration. • Experience with Snowflake as a data warehouse platform and DBT for transformations. • Strong SQL skills and understanding of data modeling principles. • Ability to troubleshoot and optimize data workflows. *Responsibilities for Internal Candidates Key Responsibilities: • Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks, Snowflake, and DBT. • Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility. • Data Transformation: Implement transformations in DBT, standardizing data for analysis and reporting. • Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed. • Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data. Qualifications: • Having relevant Experience in MS Azure, Snowflake, DBT& Big Data Hadoop eco-system components • Understanding of Hadoop Architecture and underlying framework including Storage Management. • Strong understand and implementation experience in Hadoop, Spark, Hive/Databricks • Expertise in implementing Data lake solution using Scala as well as Python. • Expertise with orchestration tool like Azure Data Factory • Strong SQL and Programing skills • Experience with DataBricks is desirable • Understanding / Implementation experience with CICD tools such as Jenkins, Azure DevOps, GITHUB is desirable.
Responsibilities
Description
We are looking for Senior Data Engineer for our Advanced Analytics and Big Data Team. The scope is to generate insights for data driven decision making in the customer service/aftermarket domain *Description for Internal Candidates Job Summary: We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, Snowflake, and DBT. Requirements: • Bachelor’s in Computer Science, Data Engineering, or related field. • Proficiency in Azure Databricks for data processing and pipeline orchestration. • Experience with Snowflake as a data warehouse platform and DBT for transformations. • Strong SQL skills and understanding of data modeling principles. • Ability to troubleshoot and optimize data workflows. *Responsibilities for Internal Candidates Key Responsibilities: • Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks, Snowflake, and DBT. • Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility. • Data Transformation: Implement transformations in DBT, standardizing data for analysis and reporting. • Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed. • Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data. Qualifications: • Having relevant Experience in MS Azure, Snowflake, DBT& Big Data Hadoop eco-system components • Understanding of Hadoop Architecture and underlying framework including Storage Management. • Strong understand and implementation experience in Hadoop, Spark, Hive/Databricks • Expertise in implementing Data lake solution using Scala as well as Python. • Expertise with orchestration tool like Azure Data Factory • Strong SQL and Programing skills • Experience with DataBricks is desirable • Understanding / Implementation experience with CICD tools such as Jenkins, Azure DevOps, GITHUB is desirable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience and Skills:
• Experience in data engineering, specifically with Snowflake and DBT.
• Key skills required are strong hands-on experience with DBT
• expertise in building and managing data models using DBT commands, Jinja macros, and configurations, and proficiency in developing and managing DBT projects, testing, and documentation.
• Strong SQL proficiency, including advanced concepts, is essential.
• Experience with Snowflake's architecture and optimizing SQL queries for the platform is also necessary.
• A solid understanding of data warehousing architectures and ETL/ELT processes, data transformation, and quality is expected.
• Proficiency with cloud platforms like AWS, Azure, or GCP and experience with version control systems like Git are often required.
• Familiarity with CI/CD pipelines and workflow management tools is also beneficial.
• Excellent problem-solving, communication, and collaboration skills are vital, as is the ability to work in an agile environment
--------------------------------------
Responsibilities
Experience and Skills:
• Experience in data engineering, specifically with Snowflake and DBT.
• Key skills required are strong hands-on experience with DBT
• expertise in building and managing data models using DBT commands, Jinja macros, and configurations, and proficiency in developing and managing DBT projects, testing, and documentation.
• Strong SQL proficiency, including advanced concepts, is essential.
• Experience with Snowflake's architecture and optimizing SQL queries for the platform is also necessary.
• A solid understanding of data warehousing architectures and ETL/ELT processes, data transformation, and quality is expected.
• Proficiency with cloud platforms like AWS, Azure, or GCP and experience with version control systems like Git are often required.
• Familiarity with CI/CD pipelines and workflow management tools is also beneficial.
• Excellent problem-solving, communication, and collaboration skills are vital, as is the ability to work in an agile environment
--------------------------------------
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Design, Develop, Document, Test and Implement
Build scalable Cloud native Spring Boot microservices and RESTful APIs.
• Ensure code quality with unit/integration tests (JUnit) and static analysis (Sonar)
• Good understanding of Non-Functional Requirement
• Design data models and access layers for SQL (e.g., SQL Server/PostgreSQL) with performance and reliability in mind.
• Containerize services with Docker and deploy to Kubernetes (AKS).
• Implement logging, metrics, and distributed tracing (Datadog/Prometheus).
• Apply security best practices (OAuth2/OIDC, secrets management, TLS, dependency scanning).
• Build pipelines in Gitlab/Jenkins for build, test, security scans, containerization, and progressive delivery (blue/green or canary).
• Good knowledge on automated rollbacks, versioning, and release governance.
• Participate in backlog grooming, estimation, and agile ceremonies.
• Produce high-quality technical documentation (API specs, architecture diagrams).
• Troubleshoot production issues and contribute to SRE practices (SLIs/SLOs/error budgets) in partnership with platform teams.
Responsibilities
Build scalable Cloud native Spring Boot microservices and RESTful APIs.
• Ensure code quality with unit/integration tests (JUnit) and static analysis (Sonar)
• Good understanding of Non-Functional Requirement
• Design data models and access layers for SQL (e.g., SQL Server/PostgreSQL) with performance and reliability in mind.
• Containerize services with Docker and deploy to Kubernetes (AKS).
• Implement logging, metrics, and distributed tracing (Datadog/Prometheus).
• Apply security best practices (OAuth2/OIDC, secrets management, TLS, dependency scanning).
• Build pipelines in Gitlab/Jenkins for build, test, security scans, containerization, and progressive delivery (blue/green or canary).
• Good knowledge on automated rollbacks, versioning, and release governance.
• Participate in backlog grooming, estimation, and agile ceremonies.
• Produce high-quality technical documentation (API specs, architecture diagrams).
• Troubleshoot production issues and contribute to SRE practices (SLIs/SLOs/error budgets) in partnership with platform teams.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Organization: Swiss Re Global Business Solutions India Private Limited
Function: Finance Reinsurance
Team: Regional A&R
Role: Data Analyst Contractor
_______________________________________________________________________
About Role
It is an exciting opportunity to work with global team to act as backbone of all reporting and
analysis for the Regional Reporting and Analysis Teams.
Key Roles and Responsibilities:
Timely retrieval of data across finance & non-finance systems for different Divisions.
Building new reporting tool in Palantir platforms by using PySpark Apache programming language
Upgrading and Maintaining existing reporting solutions in Power BI platform
Visual presentation & analysis of data to ensure team continues to push for improved ways to disseminate reporting & analysis to all interested stakeholders across globe
About You
We are looking for candidate who is a Strong Fresher or with 6 Month - 1 year of experience, passionate about transforming large voluminous data into meaningful information to facilitate decision making by various stakeholders.
Candidate interested in this role, should have a deep knowledge on SQL, Python, Advanced Excel skills, Power BI, Power query, Building Dax Logics to transform the data.
Professional degree in data management field or Prior experience of working with Finance team data will be added advantage.
Expectations from the Role
Take personal responsibility of building new platforms & maintaining existing Power BI modules for reporting purposes.
Interact with various stakeholders to understand the need and come up with data solution to match their needs.
Develop a deep understanding on SR data platform to retrieve required data from various sources (by using SQL or other data transformation) to provide insights to management
Responsibilities
Organization: Swiss Re Global Business Solutions India Private Limited
Function: Finance Reinsurance
Team: Regional A&R
Role: Data Analyst Contractor
_______________________________________________________________________
About Role
It is an exciting opportunity to work with global team to act as backbone of all reporting and
analysis for the Regional Reporting and Analysis Teams.
Key Roles and Responsibilities:
Timely retrieval of data across finance & non-finance systems for different Divisions.
Building new reporting tool in Palantir platforms by using PySpark Apache programming language
Upgrading and Maintaining existing reporting solutions in Power BI platform
Visual presentation & analysis of data to ensure team continues to push for improved ways to disseminate reporting & analysis to all interested stakeholders across globe
About You
We are looking for candidate who is a Strong Fresher or with 6 Month - 1 year of experience, passionate about transforming large voluminous data into meaningful information to facilitate decision making by various stakeholders.
Candidate interested in this role, should have a deep knowledge on SQL, Python, Advanced Excel skills, Power BI, Power query, Building Dax Logics to transform the data.
Professional degree in data management field or Prior experience of working with Finance team data will be added advantage.
Expectations from the Role
Take personal responsibility of building new platforms & maintaining existing Power BI modules for reporting purposes.
Interact with various stakeholders to understand the need and come up with data solution to match their needs.
Develop a deep understanding on SR data platform to retrieve required data from various sources (by using SQL or other data transformation) to provide insights to management
Salary : Rs. 0.0 - Rs. 30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Organization: Swiss Re Global Business Solutions India Private Limited
Function: Finance Reinsurance
Team: Regional A&R
Role: Data Analyst Contractor
_______________________________________________________________________
About Role
It is an exciting opportunity to work with global team to act as backbone of all reporting and
analysis for the Regional Reporting and Analysis Teams.
Key Roles and Responsibilities:
• Timely retrieval of data across finance & non-finance systems for different Divisions.
• Building new reporting tool in Palantir platforms by using PySpark Apache programming language
• Upgrading and Maintaining existing reporting solutions in Power BI platform
• Visual presentation & analysis of data to ensure team continues to push for improved ways to disseminate reporting & analysis to all interested stakeholders across globe
About You
• We are looking for candidate who is a Strong Fresher or with 6 Month - 1 year of experience, passionate about transforming large voluminous data into meaningful information to facilitate decision making by various stakeholders.
• Candidate interested in this role, should have a deep knowledge on SQL, Python, Advanced Excel skills, Power BI, Power query, Building Dax Logics to transform the data.
• Professional degree in data management field or Prior experience of working with Finance team data will be added advantage.
Expectations from the Role
• Take personal responsibility of building new platforms & maintaining existing Power BI modules for reporting purposes.
• Interact with various stakeholders to understand the need and come up with data solution to match their needs.
• Develop a deep understanding on SR data platform to retrieve required data from various sources (by using SQL or other data transformation) to provide insights to management
Responsibilities
Contract length- 6 -9 Months (Extension possible)
Pay rate- 30, 000 INR in Hand
Hiring Manager- Prashanth B N
Start Date – May 4th or 11th
Work type- Hybrid
Experience – 1 Year
Openings- 1
Pay rate has been specified
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
