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
⭐ Valuable 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 (Mumbai)
🏢 Andor Tech
📍 Mumbai