Senior Data Engineer - Python & Oracle PL/SQL

LTM; Charlotte (NC); Presencial; USD 110 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, Dental, Vision

Disability Coverage

401(k) Plan

Life Insurance

Paid Holidays & Leave

Parental Leave

Resumo da oferta

LTIMindtree seeks a Senior Specialist with 7–11 years of Python and Oracle PL/SQL experience to develop data-driven solutions within the PythonData skill cluster. You will design, optimize, and maintain Python-based data processing apps leveraging Oracle databases to support enterprise-scale operations.

Collaborate with business analysts, developers, and support teams across locations to build scalable ETL workflows, tune queries, and implement robust data workflows.

Qualificações

• 7–11 years of experience in Python and Oracle PLSQL.
• Experience developing data-driven applications and ETL pipelines.
• Ability to work with cross-functional teams across locations.

Responsabilidades

• Develop and maintain PLSQL components including packages, procedures, functions, triggers and views to support Python applications.
• Perform query tuning, indexing and performance optimization to ensure efficient database operations.
• Participate in database design, data modeling and schema optimization activities.
• Create, test and maintain Python scripts and APIs for data extraction, transformation and loading 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 while working independently.

Conhecimentos

Python

Oracle PLSQL

Pandas

Ferramentas

SQL

ETL

APIs

Descrição da oferta de emprego

LTIMindtree seeks a Senior Specialist with 7–11 years of Python and Oracle PL/SQL experience to develop data-driven solutions within the PythonData skill cluster. You will design, optimize, and maintain Python-based data processing apps leveraging Oracle databases to support enterprise-scale operations.

Collaborate with business analysts, developers, and support teams across locations to build scalable ETL workflows, tune queries, and implement robust data workflows.