SAS DI Developer

3 weeks ago


Mumbai, India Arting Digital Private Limited Full time
Job Description

Posting title:       SAS DI Developer

Experience:         2-5 Years

Location:              Mumbai

Work mode:        On-site

Primary skills:     SAS DI, SAS Base, SAS Macro, ETL, Oracle, SQL Server, Teradata

Qualification:       Any Technical Degree


Roles & Responsibilities:

  • Design, develop, and maintain ETL processes using SAS Data Integration Studio.
  • Develop and optimize SAS Base and SAS Macro programs for data extraction, transformation, and loading.
  • Work with data analysts, business users, and architects to understand data requirements and deliver appropriate solutions.
  • Perform data validation, quality checks, and troubleshoot issues related to data loads.
  • Maintain and enhance existing SAS jobs, scheduling dependencies, and ensure timely data delivery.
  • Implement performance tuning techniques for SAS jobs and SQL queries.
  • Work with RDBMS (e.g., Oracle, SQL Server, Teradata) for data extraction and integration.
  • Participate in code reviews, documentation, and support activities.
  • Collaborate with QA teams to assist in testing and resolving data discrepancies.
  • Ensure compliance with data governance and security standards.

Required Skills and Qualifications:

  • 3–4 years of professional experience with SAS DI Studio.
  • Proficiency in SAS Base, SAS Macros, SQL, and SAS Enterprise Guide.
  • Strong understanding of ETL concepts, data modeling, and data warehousing best practices.
  • Experience with relational databases like Oracle, Teradata, or SQL Server.
  • Ability to analyze large datasets and troubleshoot data-related issues.
  • Familiarity with job scheduling tools (e.g., Control-M, Autosys) is a plus.
  • Knowledge of data governance, lineage, and metadata management.
  • Excellent problem-solving and analytical skills.
  • Strong verbal and written communication skills.

Preferred Qualifications:

  • Experience with SAS Grid, SAS Viya, or other advanced SAS environments.

  • Familiarity with Agile methodologies and tools like Jira.


Requirements
SAS Data integration (DI) SAS Base, SAS Macro, ETL, Oracle, SQL Server, Teradata
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