Senior Python Data Engineer – Oracle PL/SQL

LTM

Edison (NJ)

On-site

USD 110,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Medical plan
Disability insurance
401(k) with company match
Life insurance
Paid time off
Parental leave

Job summary

LTIMindtree is seeking a Senior Specialist in the United States with 7 to 11 years of experience in Python and Oracle PLSQL to develop data-driven solutions within the PythonData skill cluster. You will design efficient workflows and collaborate with cross-functional teams across locations.

Responsibilities include building PLSQL components, tuning queries, developing Python scripts for ETL, and maintaining documentation while following Agile practices to deliver scalable, enterprise-grade data

Qualifications

  • 7 to 11 years of experience in Python and Oracle PLSQL
  • Develop data-driven solutions within the PythonData skill cluster
  • Ability to design efficient data workflows and automate data handling tasks

Responsibilities

  • Develop and maintain PLSQL components including packages, procedures, functions, triggers and views
  • Perform query tuning, indexing and performance optimization
  • Create, test and maintain Python scripts and APIs for ETL processes
  • Support production environments by managing incidents, performing root cause analysis and implementing fixes
  • Develop deployment scripts and maintain comprehensive technical documentation
  • Follow Agile development methodologies and adapt to changing requirements

Skills

Python
Oracle PLSQL
Data modeling

Tools

Pandas
SQL

Job description

LTIMindtree is seeking a Senior Specialist in the United States with 7 to 11 years of experience in Python and Oracle PLSQL to develop data-driven solutions within the PythonData skill cluster. You will design efficient workflows and collaborate with cross-functional teams across locations.

Responsibilities include building PLSQL components, tuning queries, developing Python scripts for ETL, and maintaining documentation while following Agile practices to deliver scalable, enterprise-grade data

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