Senior Specialist - Data Engineering

LTM · Design & Creative · Information Technology · Python · SQL · ETL/ELT · 3 days ago

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Salary

≈ $106k – $201k per year (Estimated)

Location

In office (Charlotte)

Seniority

Senior

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 15, 2026. LTM scores B on the Alion truth index.

Overview

Company

Impact

Profile match

LTM

LTM (formerly LTIMindtree) is a prominent global technology consulting and digital solutions enterprise that delivers comprehensive IT, cloud, and business transformation services to multinational corporations. Headquartered in Mumbai, India, the company operates an extensive international delivery network specializing in artificial intelligence, data engineering, and enterprise systems integration. As a subsidiary of the industrial conglomerate Larsen & Toubro, it partners with leading organizations across sectors such as banking, healthcare, and manufacturing to drive operational efficiency and digital modernization.

ltm.com · HQ: Mumbai, India · Information Technology · Design & Creative · Branding · Creative Agencies · Media & Entertainment · Enterprise Apps Implementation Partners · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · Est. 1996

Tech stack of LTM

Pipeline Development Design and implement highly modular automated Extract Transform Load ETL data pipelines using Python and related frameworks

Data Transformation Build Python logic using packages like Pandas or PySpark to clean format deduplicate and encrypt raw data into optimized staging areas

Orchestration Automation Schedule and orchestrate complex workflows using tools like Apache Airflow Prefect or Dagster to minimize delays and prevent performance bottlenecks

Database Warehouse Engineering Develop and tune SQL queries design data schemas and manage data ingestion into Relational Databases RDBMS or modern cloud data warehouses like Snowflake

Monitoring Error Handling Implement thorough logging frameworks exception handling and realtime ing systems to maintain pipeline integrity and data quality

API System Integration Extract data from heterogeneous systems including flat files thirdparty REST APIs web scraping and streaming sources

Documentation Maintain clear code documentation architectural mapping and pipeline workflow outlines

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