SAS Integration
Highlights:
5.00 - 9.00 Years
14.00 - 22.00 INR (Lacs)/Yearly
Full-time
Mumbai, Delhi, Gurgaon
Skills
SAS Integration Technologies
SAS DI
SAS DI Studio
SAS DI Studio 4.4
Roles & Responsibility
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : SAS Data Integration
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Senior Data Engineer specializing in SAS Data Integration, you will design, develop, and maintain scalable ETL pipelines and data workflows using SAS DI Studio, SAS Base, and related SAS components. You will be responsible for defining data requirements, building robust data integration solutions, and optimizing existing processes for improved performance. Your daily responsibilities will include transforming large datasets, enhancing data flow efficiency, and ensuring accuracy, integrity, and security across all data environments.
You will collaborate closely with business stakeholders, data architects, analysts, and data scientists to translate business needs into effective technical solutions using SAS Data Integration technologies. Strong communication skills are essential to engage with clients, guide technical discussions, and resolve challenges. Your role will be key in enforcing data standards, data governance, and ensuring high-quality, reliable data that supports organizational strategy and analytics initiatives.
Roles & Responsibilities:
• Expected to act as an SAS Data Integration SME within the team.
• Collaborate with and mentor team members to ensure high performance and adherence to best practices.
• Take responsibility for technical decisions within the team related to SAS DI workflows, standards, and solutions.
• Engage with cross-functional teams including data scientists, analysts, business users, and architects to gather data requirements and deliver high-quality, scalable data integration solutions.
• Provide solutions to complex data processing problems for both the immediate team and extended project teams.
• Conduct knowledge-sharing sessions to elevate team skills and promote continuous learning of SAS tools and data engineering concepts.
• Develop and maintain technical documentation related to SAS data architecture, ETL workflows, and integration processes to ensure clarity and accessibility for all stakeholders.
Requirements
Professional & Technical Skills:
• Must Have Skills: Strong proficiency in SAS Data Integration Studio (DI Studio), SAS Base, SAS Macro, and SAS Management Console with solid troubleshooting capabilities.
• Extensive experience in ETL design, development, scheduling, and optimization using SAS tools.
• Strong understanding of data modeling, including dimensional modeling and relational structures.
• Hands-on experience with data pipelines, ETL processes, data cleansing, and transformation workflows.
• Working knowledge of SQL and integration with databases such as Oracle, SQL Server, Teradata, or similar.
• Experience working in enterprise data warehousing environments and familiarity with cloud or on-prem data platforms.
• Ability to design and implement data governance, metadata management, and data quality frameworks.
• Strong capability to handle and process large datasets efficiently in day-to-day tasks.
• Experience with job scheduling tools (e.g., LSF, Autosys, Control-M) is a plus."
.
Additional Information:
• Must Have Skills: Strong proficiency in SAS Data Integration Studio (DI Studio), SAS Base, SAS Macro, and SAS Management Console with solid troubleshooting capabilities.
• Extensive experience in ETL design, development, scheduling, and optimization using SAS tools.
• Strong understanding of data modeling, including dimensional modeling and relational structures.
• Hands-on experience with data pipelines, ETL processes, data cleansing, and transformation workflows.
• Working knowledge of SQL and integration with databases such as Oracle, SQL Server, Teradata, or similar.
• Experience working in enterprise data warehousing environments and familiarity with cloud or on-prem data platforms.
• Ability to design and implement data governance, metadata management, and data quality frameworks.
• Strong capability to handle and process large datasets efficiently in day-to-day tasks.
• Experience with job scheduling tools (e.g., LSF, Autosys, Control-M) is a plus."
.
Additional Information:
- The candidate should have minimum 5 years of experience in SAS Data Integration.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Quoted
ATCI-5323090-S1942467 - SAS IntegrationQuoted
Sent by Nandini SharmaEnd Quote press L to link back to original quote
End Quote press L to link back to original quoteProject Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : SAS Data Integration
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Senior Data Engineer specializing in SAS Data Integration, you will design, develop, and maintain scalable ETL pipelines and data workflows using SAS DI Studio, SAS Base, and related SAS components. You will be responsible for defining data requirements, building robust data integration solutions, and optimizing existing processes for improved performance. Your daily responsibilities will include transforming large datasets, enhancing data flow efficiency, and ensuring accuracy, integrity, and security across all data environments.
You will collaborate closely with business stakeholders, data architects, analysts, and data scientists to translate business needs into effective technical solutions using SAS Data Integration technologies. Strong communication skills are essential to engage with clients, guide technical discussions, and resolve challenges. Your role will be key in enforcing data standards, data governance, and ensuring high-quality, reliable data that supports organizational strategy and analytics initiatives.
Roles & Responsibilities:
• Expected to act as an SAS Data Integration SME within the team.
• Collaborate with and mentor team members to ensure high performance and adherence to best practices.
• Take responsibility for technical decisions within the team related to SAS DI workflows, standards, and solutions.
• Engage with cross-functional teams including data scientists, analysts, business users, and architects to gather data requirements and deliver high-quality, scalable data integration solutions.
• Provide solutions to complex data processing problems for both the immediate team and extended project teams.
• Conduct knowledge-sharing sessions to elevate team skills and promote continuous learning of SAS tools and data engineering concepts.
• Develop and maintain technical documentation related to SAS data architecture, ETL workflows, and integration processes to ensure clarity and accessibility for all stakeholders.
Professional & Technical Skills:
• Must Have Skills: Strong proficiency in SAS Data Integration Studio (DI Studio), SAS Base, SAS Macro, and SAS Management Console with solid troubleshooting capabilities.
• Extensive experience in ETL design, development, scheduling, and optimization using SAS tools.
• Strong understanding of data modeling, including dimensional modeling and relational structures.
• Hands-on experience with data pipelines, ETL processes, data cleansing, and transformation workflows.
• Working knowledge of SQL and integration with databases such as Oracle, SQL Server, Teradata, or similar.
• Experience working in enterprise data warehousing environments and familiarity with cloud or on-prem data platforms.
• Ability to design and implement data governance, metadata management, and data quality frameworks.
• Strong capability to handle and process large datasets efficiently in day-to-day tasks.
• Experience with job scheduling tools (e.g., LSF, Autosys, Control-M) is a plus."
.
Additional Information:
The candidate should have minimum 5 years of experience in SAS Data Integration.
This position is based at our Bengaluru office.
A 15 years full time education is required.
15 years full time education
assign to me and sakshi pls
Project Role : Custom Software Engineer
Good to have skills : Data Modeling Techniques and Methodologies
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Software Engineer, a typical day involves analyzing various client requirements and designing tailored software solutions. The role includes coding and testing multiple components of application code to ensure functionality and performance. Additionally, the position requires performing maintenance and enhancements to existing systems, ensuring continuous improvement and adaptation to evolving client needs. Collaboration with team members and stakeholders to align development efforts with project goals is also a key aspect of the daily routine.
Roles & Responsibilities:
Professional & Technical Skills:
Additional Information:
15 years full time education
- Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Good to have skills : Data Modeling Techniques and Methodologies
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Software Engineer, a typical day involves analyzing various client requirements and designing tailored software solutions. The role includes coding and testing multiple components of application code to ensure functionality and performance. Additionally, the position requires performing maintenance and enhancements to existing systems, ensuring continuous improvement and adaptation to evolving client needs. Collaboration with team members and stakeholders to align development efforts with project goals is also a key aspect of the daily routine.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand project requirements and deliver effective software solutions.
- Document development processes and maintain clear communication channels within the team.
- Assist junior team members by sharing knowledge and providing guidance when necessary.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Graph Databases, Data Modeling Techniques and Methodologies.
- Good To Have Skills: Experience with Data Modeling Techniques and Methodologies.
- Strong understanding of database design principles and query optimization for graph-based data structures.
- Experience in developing and maintaining scalable software applications using graph database technologies.
- Ability to troubleshoot and resolve complex issues related to data storage and retrieval in graph databases.
- Familiarity with integration of graph databases with other software components and services.
Additional Information:
- The candidate should have minimum 3 years of experience in Graph Databases.
- This position is based at our Gurugram office.
- A 15 years full time education is required.
15 years full time education