Position: Data Engineer – Data bricks & PySpark)

Experience: 3–5 years

Location: Gurgaon, India

Work Mode: Work from Office (Monday–Friday)

Shift: 2:00 PM – 11:00 PM IST

About the Job

MantriAI is hiring for a leading global analytics and advisory firm, helping banks and financial institutions drive revenue growth, reduce costs and manage risk through Big Data, Advanced Analytics and deep industry expertise.

Key Responsibilities

- Develop data ingestion and transformation pipelines using Databricks, PySpark, Python and SQL
- Integrate data from multiple sources and prepare datasets for reporting, analytics and machine-learning use cases
- Build reusable transformation components and analytical data models
- Implement data-quality checks, reconciliation, exception handling and pipeline monitoring
- Optimize Spark workloads for performance, reliability and cost
- Apply data security, access controls, lineage and documentation standards
- Support automated deployment,



production troubleshooting and ongoing pipeline maintenance
- Translate banking business requirements into sustainable data solutions

Required Skills & Experience

- Solid hands-on experience with Databricks and PySpark
- Proficiency in Python and SQL
- Experience building ETL/ELT pipelines and working with a data lake
- Understanding of distributed processing, workflow orchestration and performance tuning
- Working knowledge of the banking domain, including banking data and metrics
- Understanding of data-quality requirements: validation, completeness, accuracy and consistency

Preferred Skills

- Experience with Azure-based data platforms
- Familiarity with enterprise data governance and sensitive-data handling
- Experience preparing data for Power BI and machine-learning applications

📌 Data Engineer (Gurugram)
🏢 MantriAI
📍 Gurugram