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 navika.srivastava@ Title : Lead Data Engineer Duration : 3 Months Location : Offshore Bangalore Description: Mandatory Skills: Strong understanding of Corporate Banking data domains including Customers, Facilities, Limits, Collateral, Covenants, Ratings, and Credit Applications. Strong 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. Strong 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. Robust 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, Dev Ops, 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 business consumption. Data

📌 Lead Data Engineer (Bareilly)
🏢 LanceSoft
📍 Bareilly