Job Description

Lead Data Engineer
Experience
10+ years of relevant data engineering experience, with a strong track record of designing and leading large-scale data platforms and a working knowledge of Large Language Models (LLMs) and GenAI-enablement.
Location
12:00 Noon – 10:00 PM IST
Bangalore (Hybrid – 2–3 days in-office per week)
Profile Summary
About Company

Trantor is a pioneer in creating enterprise technology solutions and state-of-the-art CaptiveCoE™ assisting enterprises across the globe with their digital transformations and business needs. Our commitment to excellence and authenticity has led to long-term working relationships with our clients and solution partners.

Website:
We are seeking an experienced Lead Data Engineer to drive the design and delivery of scalable, reliable, and cost-efficient data platforms. This role requires deep, hands-on expertise across the up-to-date data engineering stack — distributed data processing, data modeling, ETL/ELT pipeline development,



and workflow orchestration — along with a solid understanding of Large Language Models (LLMs) and their data requirements. This role requires robust, hands-on expertise with the Databricks Lakehouse Platform, including the medallion (bronze/silver/gold) architecture, Apache Spark, and Delta Lake. The ideal candidate will combine solid engineering fundamentals with technical leadership, mentoring engineers, setting best practices, and partnering with architects, data scientists, and business stakeholders to enable advanced analytics and GenAI use cases.
Key Responsibilities
Lead the design and development of scalable, high-performance data pipelines and platforms across batch and streaming workloads
Architect and maintain ETL/ELT workflows for data ingestion, transformation, and curation across the medallion (bronze/silver/gold) architecture
Define and govern data models, schemas, and storage strategies for data lakes and data warehouses to support analytics, reporting, and ML/

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