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Michelin

Technical Lead, Data Engineering

Pune
PySpark Databricks Python SQL Azure Azure Data Factory Azure Storage Data Modeling Data Warehousing Data Ingestion Snowflake Azure Datalake Delta Lake Spark Cloud Computing LLM
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Description

Technical Lead - Data Engineering

Location: Pune

Job Description

Technical Lead - Data Engineering

- - - - - - - - - - - -

Job Title: Technical Lead – Data & AI Delivery

 

Experience: 10–15 Years

Role Type: Technical Leadership & Delivery Management

Role Objective

  • We are seeking a high-caliber Technical Lead to spearhead the delivery of complex Data and AI projects.
  • You will convert strategic AI roadmaps into scalable production realities by blending expert data engineering with the precision and discipline of modern software engineering.

Key Responsibilities

  •  Strategic Delivery Management: Lead the end-to-end lifecycle of Data/AI projects, translating business goals into actionable technical roadmaps and AI strategies.
  •  Architectural Excellence: Design and implement Medallion Data Lake architectures on Azure, ensuring seamless integration of structured and unstructured data.
  • Hands-on Optimization: Act as the subject matter expert in PySpark and Databricks, directly overseeing the optimization of high-performance data pipelines and ETL/ELT patterns.
  • AI Integration: Collaborate with Data Scientists to integrate models into production environments, ensuring smooth model operations and deployment.
  • Governance & Security: Enforce strict data security and compliance standards.
  • Technical Leadership: Guide a cross-functional squad of engineers and scientists through complex technical roadblocks, fostering a culture of excellence and continuous learning.

Technical Skills & Qualifications:

Core Tech Stack (Must-Have)

  •     Languages: Expert-level PySpark, Databricks, Python, SQL.
  •     Expertise in Azure (Azure Data Factory, Databricks, Azure Storage).
  •     Data Architecture: Mastery of Data Modeling, Data Warehousing, and Medallion (Bronze/Silver/Gold) patterns.
  •    Good understanding on Data Ingestion Frameworks and practices.
  •   Databases: Snowflake, Azure Datalake , Lakehouse {delta lake}
  •   Understanding of LLM framework will be a plus.

 AI & Machine Learning {Big Plus}:

  •     Proficiency in ML/DL frameworks and the development-to-deployment lifecycle.
  •     Strong experience integrating AI models with Spark-based data processing.
  •   Experience on integration with LLM models and storage will be plus.

      

Integration & Infrastructure:

  •      Strong understanding of Cloud Computing and Azur services.

Soft Skills & Leadership:

  • Communication: Ability to articulate complex technical concepts to both engineering teams and non-technical stakeholders.
  • Problem-Solving: A strategic thinker with a proven track record of resolving architectural bottlenecks.
  • Collaborative Leadership: Ability to motivate teams and drive initiatives forward within a fast-paced corporate environment.
  • Industry Awareness: Proactive engagement with emerging trends in Data Engineering, Generative AI, and Cloud Architecture.
  • Continuous Learning.

Preferred Experience:

  •     Prior experience in a lead or co-lead role for Data or AI product development . 
  •   Proven expertise in handling large-scale migrations to Azure-native data stacks.
Michelin
Michelin

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