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
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