Data Platform Engineer

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.



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.
Qualification15 years full time education