10+ years of hands-on data engineering experience, including technical leadership of data platform initiatives

• Strong, hands-on expertise with the Databricks Lakehouse Platform, including Delta Lake, Delta Live Tables, Databricks Workflows, and Unity Catalog

• Proven experience designing and implementing the medallion (bronze/silver/gold) architecture for data ingestion, curation, and consumption

• Strong expertise in distributed data processing using Apache Spark (PySpark and Spark SQL) or equivalent big-data frameworks

• Proven experience designing and building ETL/ELT pipelines for both batch and streaming data at scale

• Expert-level proficiency in Python and SQL for data transformation, validation, and pipeline development

• Strong experience building and managing data lakes and data warehouses, including dimensional and lakehouse data modeling

• Working knowledge of Large Language Models (LLMs) and GenAI concepts — prompts, embeddings, vector databases, and Retrieval-Augmented Generation (RAG)



— and the data pipelines required to support them

• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services

• Proven experience leading large-scale data migrations from on-premise (e.g. Hadoop) and cloud platforms to contemporary data architectures

• Strong understanding of distributed data processing, partitioning, and performance optimization techniques

• Experience implementing data security, governance, lineage, and access control (e.g. IAM, encryption, cataloging)

• Strong understanding of object-oriented programming, software design patterns, and CI/CD practices

• Familiarity with Agile/Scrum delivery methodologies and experience mentoring engineers

• Excellent problem-solving, analytical, and stakeholder-management skills

• Strong verbal and written communication skills

📌 Lead Data Engineer- GenAI/LLM (Bengaluru)
🏢 Altraize
📍 Bengaluru