Specialist - Data Engineering

LTM · Media & Entertainment · Creative Agencies · SQL · 17 days ago

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Salary

≈ $19k – $41k per year (Estimated)

Location

In office (Pune)

Seniority

Staff · 8+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 10, 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

Around 5 yrs8 Years of experience on complex transformation using Abinitio with Plans

Experience working with various Abinitio components such as Rollup Scan Join Partition by key Partition by Round Robin Gather Merge Sort Lookup etc

Experience with various Abinitio parallelism techniques Abinitio Graphs using Data Pipeline Component parallelisms

Experience and expertise on SQL and Unix shell scripting Knowledge on Abinitio air commands and m commands

Knowledge on Abinitio Operation Console is optional Ability to Lead and Manage team and Interact with End users clients

Proficient in creating documentation related to Project Architecture Project end User Manual and Operations Hand off guide Good knowledge of Quality processes

Good knowledge in Data warehousing concepts Strong Analysis skills

Good verbal and written communication skills Experience in BFSI domain is preferable

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