Data Engineer

Job Description

• Position 1: Senior Data Lead
• Experience: 8+ years Location: Bangalore (or as per company policy)
  
  

Role Overview

Lead data engineering and analytics initiatives for supply chain transformation projects. Work closely with clients and internal teams to design and implement modern data platforms and AI-driven solutions.

• Key Responsibilities:
• Design and implement data solutions on Snowflake, Databricks, or Google BigQuery. ( any one of these can be primary skill)
• Drive data migration from SAP ECC/S4 to cloud data lakes/lakehouses.
• Develop and optimize ETL/ELT pipelines using Python, Spark/PySpark, and big data frameworks.
• Enable analytics and BI solutions for supply chain use cases.
• Collaborate with AI teams to integrate LLMs and advanced ML models into data workflows.
• Ensure data quality, governance, and security across platforms.
• Required Skills:
• Strong experience with cloud data platforms (Snowflake, Databricks, BigQuery).
• Proficiency in Python, Spark/PySpark, and big data technologies.
• Hands-on experience with data modeling, data migration, and performance tuning.
• Familiarity with AI/ML concepts, LLMs, and their integration with data platforms.
• Knowledge of BI tools (Power BI, Tableau, or similar).
  
  

Understanding of SAP data structures and extraction techniques

Responsibilities

Key Responsibilities:

• Design and implement data solutions on Snowflake, Databricks, or Google BigQuery. ( any one of these can be primary skill)
• Drive data migration from SAP ECC/S4 to cloud data lakes/lakehouses.
• Develop and optimize ETL/ELT pipelines using Python, Spark/PySpark, and big data frameworks.
• Enable analytics and BI solutions for supply chain use cases.
• Collaborate with AI teams to integrate LLMs and advanced ML models into data workflows.
  
  

Ensure data quality, governance, and security across platforms

Qualifications

• Required Skills:
• Strong experience with cloud data platforms (Snowflake, Databricks, BigQuery).
• Proficiency in Python, Spark/PySpark, and big data technologies.
• Hands-on experience with data modeling, data migration, and performance tuning.
• Familiarity with AI/ML concepts, LLMs, and their integration with data platforms.
• Knowledge of BI tools (Power BI, Tableau, or similar).
• Understanding of SAP data structures and extraction techniques.

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