HIRING: Senior Data Engineer – Corporate Banking Data | REMOTE We are looking for an experienced Senior Data Engineer with 8 years of overall experience to work on enterprise-scale Corporate Banking & Credit Risk data platforms . Location: Remote / Work From Home Experience: 8 Years – MUST ⚡ Joining: Immediate Joiners ONLY Mandatory Skills ✅ Strong understanding of Corporate Banking Data Domains – Customers, Facilities, Limits, Collateral, Covenants, Ratings & Credit Applications ✅ Strong hands-on experience in ETL/ELT pipeline development for enterprise-scale data platforms ✅ Advanced SQL – Data Extraction, Transformation, Reconciliation & Performance Optimization ✅ Hands-on experience with Python & Spark for data engineering and automation ✅ Solid experience with: Azure Data Factory Azure Databricks Azure Storage Azure Data Services ✅ Experience with Cloudera/Hadoop ecosystem – HDFS, Hive, Spark & Impala ✅ Experience building and supporting Data Lakes, Data Warehouses & Enterprise Data Platforms ✅ Strong knowledge of Data Modelling, Source-to-Target Mapping, Data Transformation & Data Integration ✅ Knowledge of Data Quality, Data Governance, Metadata Management & Data Security ⭐ Good to Have Corporate Banking / Credit Risk / Lending / ELCM / Limit Management experience CI/CD, DevOps, Git,



Jenkins & Deployment Automation Databricks Unity Catalog & Modern Data Architecture Enterprise Data Platform experience Exposure to AI, Analytics & Data Science consumption layers ️ Key Responsibilities • Design, build & maintain scalable ETL/ELT pipelines • Integrate data from multiple source systems and create curated datasets • Develop transformation frameworks using Spark, Databricks & Python • Optimize data pipelines, jobs and queries for scalability & reliability • Implement automated data quality and reconciliation controls • Provide production support, troubleshooting & RCA • Collaborate with Data Analysts, Architects, Business Teams & Vendors • Maintain technical documentation, mappings, lineage & operational procedures Education & Experience Overall Experience: 8 years in Data Engineering & Enterprise Data Platforms Relevant Experience: 5 years with SQL, Hadoop/Cloudera, Azure Data Platform, Databricks, Python & Spark Bachelor's degree in Computer Science, IT, Engineering or related field Banking / Corporate Banking / Risk / Financial Services experience preferred Interested candidates: Please share your updated resume via DM. ⚠️ Note: 8 years of experience and immediate availability are required.

📌 Lead Data Engineer (India)
🏢 Andor Tech
📍 India