We have an exciting opportunity for a "Lead Data Engineer" with our client in Offshore Bangalore. Interested candidates are encouraged to send their CV to

Title : Lead Data Engineer
Duration : 3 Months
Location : Offshore Bangalore

Description:

Mandatory Skills:
Robust understanding of Corporate Banking data domains including Customers, Facilities, Limits, Collateral, Covenants, Ratings, and Credit Applications.
Robust hands-on experience in designing, developing, and managing ETL/ELT pipelines for enterprise-scale data platforms.
Advanced proficiency in SQL for data extraction, transformation, reconciliation, and performance optimization.
Hands-on experience in Python and Spark for data engineering and automation.
Strong experience with Azure Data Factory, Azure Databricks, Azure Storage, and related Azure data services.
Experience working with Cloudera/Hadoop ecosystem including HDFS, Hive, Spark, and Impala.
Experience building and supporting Data Lakes, Data Warehouses, and Enterprise Data Platforms.
Robust experience in data modelling,



source-to-target mappings, data transformation, and data integration.
Knowledge of data quality, data governance, metadata management, and data security best practices.
Strong analytical and problem-solving skills with experience supporting banking data platforms.

Desired Skills
Experience supporting Corporate Banking, Credit Risk, Lending, ELCM, or Limit Management platforms.
Experience with CI/CD, DevOps, Git, Jenkins, or deployment automation.
Working knowledge of Databricks Unity Catalog and modern data architecture patterns.
Exposure to enterprise data platforms.
Experience supporting AI, Analytics, or Data Science consumption layers.
Roles & Responsibilities:
Data Pipeline Management – Design, build, and maintain scalable ETL/ELT pipelines for Corporate Banking and Credit Risk data.
Data Integration – Integrate data from multiple source systems and deliver curated datasets for busines

📌 Lead Data Engineer Udaipur (India)
🏢 LanceSoft
📍 India