? 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