Job Description Senior Data Engineer / Data Engineering Lead

Experience: 10+ Years
Location: Chandigarh
Work Model: Work from office
Domain: Banking / Financial Services / Credit Risk

[email protected] | +91-(phone hidden),(phone hidden)

Role Type: Full time

About the Role

We are seeking an experienced Data Engineer with 10+ years of expertise in building and modernizing data assets for banking portfolio optimization.

The role offers an opportunity to lead teams in modernizing BI, AI, and ML data pipelines, automate manual processes, and build audit-ready production data platforms. The successful candidate will work on impactful projects across wholesale lending, retail lending, and credit risk, collaborating with global stakeholders and driving data transformation initiatives.

Key Responsibilities
- Lead the architecture and development of end-to-end analytics platforms.
- Develop and maintain BI, analytics, and reporting data pipelines.
- Set up AWS Glue for file ingestion and data bucket management.




- Partner with client teams to deploy Databricks workspaces with secure governance.
- Refactor existing SAS scripts into Spark jobs using Databricks Notebooks.
- Build PySpark / Spark SQL ELT jobs using Delta Tables for ACID compliance.
- Orchestrate PySpark transformations using Databricks Workflows.
- Develop and manage monthly batch-processing analytics data pipelines.
- Lead BI development teams supporting credit risk and lending transformation projects.
- Analyze data lineage and implement data accuracy and validation testing.
- Design and develop dashboards based on stakeholder requirements.
- Test and deploy dashboards with row-level data security.
- Transition decision-making analytics dashboards into production.
- Collaborate with global stakeholders to understand business requirements and deliver scalable data solutions.
- Drive modernization, automation, data quality, and production-readiness initiatives.

Required Skills & Qualifications

Must Have:
- 10+

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