Data Integration Engineer

4 - 9 years

6 - 10 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Responsibilities:
  • Analyze SAS programs to understand sources, dependencies, data flow.
  • Sanitize SAS programs in preparation for conversion.
  • Optimize SAS programs in preparation for conversion.
  • Incorporate changes in accelerator to ensure generated code aligns to required standards
  • Utilize accelerator to convert SAS programs to PySpark programs.
  • Demonstrate and document code lineage.
  • Unit Test generated PySpark programs
  • Incorporate feedback from PySpark EAP integration, SIT and parity-check.
  • Prepare for deployment.
  • Experience analyzing and understanding SAS processes and statistical methods to identify trends, patterns, and correlations.
  • Proficiency in SAS programming and tools
  • Developing and maintaining SAS programs for automation and analysis.
  • Proven expertise in Spark, SQL, including data pipeline and notebook development.
  • Troubleshooting user issues and resolving system errors.
  • Managing SAS jobs and schedules and working with SAS metadata.
  • Migration of SAS Jobs, Stored Procedures, SAS Programs, Reports, SAS Datasets, Excel, and CSV files from Development to Production Environment.
  • Ensure compliance with data security, privacy regulations, and organizational standards.
  • Qualifications:

  • 4+ years of experience in SAS Base.
  • Exposure to Python, PySpark Development and SQL knowledge is good to have.
  • Experience in SAS Mainframe (Good to have).
  • Strong understanding of data architecture, data modelling, and ETL/ELT processes.
  • Experience with big data processing and distributed computing systems like Spark.
  • Proficient in Python and Scala scripting for data manipulation and analysis.
  • Excellent communication, collaboration, and problem-solving skills.
  • Strong leadership and team-building abilities.
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