Lead Data Engineer
Summary
Senior/Lead Data Engineer designing and maintaining enterprise-scale ETL/ELT pipelines for corporate banking and credit-risk data platforms, fully remote. Core stack: advanced SQL, Python, Spark, Azure Data Factory/Databricks/Storage, and the Cloudera/Hadoop ecosystem (HDFS, Hive, Impala).
🚨 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
✅ Strong 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.