Senior Specialist - Data Engineering

LTM · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Bachelor's Degree · Azure Data Factory · 2 hours ago
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Location
In office (Bengaluru)
Seniority
Senior · 7+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Sep 11, 2026. LTM scores B on the Alion truth index.

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LTM

LTM, formerly LTIMindtree, is an Indian IT services and consulting company providing application development, cloud, data engineering, AI, enterprise application implementation and managed services to large enterprises. Headquartered in Mumbai and majority-owned by Larsen & Toubro, it was formed in 2022 by the merger of L&T Infotech, founded in 1996, and Mindtree, and is listed on the BSE and NSE. It hires Salesforce and full-stack developers, data engineers, program managers and software engineers in Bengaluru, Kolkata, Pune and Bellevue, Washington.
ltm.com · HQ: Mumbai, India · Enterprise Apps Implementation Partners · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · Est. 1996
Tech stack of LTM

Job Title: Senior Specialist - Data Engineering

Location: Bengaluru

Experience: 7-11 years

About the Role: Join LTM as a Senior Specialist - Data Engineering to architect robust data ecosystems. You will drive enterprise-level data transformation initiatives, enabling intelligent systems and empowering global organizations to outcreate through advanced data strategies.

Role and Responsibilities (What You'll Do):

  • Architect, design, and implement scalable data pipelines to process high-volume datasets efficiently across distributed environments.
  • Direct cross-functional data initiatives by collaborating closely with software architects, data scientists, and business stakeholders to align data infrastructure with organizational objectives.
  • Optimize data retrieval performance and storage efficiency by conducting comprehensive performance tuning and system audits.
  • Establish rigorous data governance frameworks, data quality standards, and security protocols to ensure compliance and integrity across all enterprise platforms.
  • Mentor junior and mid-level engineering personnel, fostering technical excellence and adherence to industry best practices in data engineering.
  • Evaluate emerging data technologies and integration frameworks to continuously enhance our enterprise data architecture capabilities.

    Qualifications (What You'll Bring):

    Must-Have:

  • Demonstrated expertise in architecting and managing cloud storage repositories utilizing Azure BLOB for large-scale enterprise applications.
  • Advanced proficiency in designing, scheduling, and monitoring complex data orchestration workflows using Azure Data Factory.
  • Proven experience in developing, optimizing, and deploying large-scale data processing pipelines and analytics workloads using Databricks.

    • Preferred:

    • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related quantitative discipline.
    • Deep domain expertise in enterprise technology services with a strong aptitude for cross-functional leadership, stakeholder management, and strategic problem-solving.
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