Senior Staff Engineer, Azure Data Engineer (Banking Domain)

Nagarro; Chennai; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Nagarro is seeking an experienced Azure Big Data Engineer in Chennai to deliver scalable data platforms for banking clients. The role emphasizes building and maintaining data pipelines, modeling, and ensuring data quality across landing, silver, and gold layers.

Apply your expertise in Spark, PySpark, Azure Data Factory and Databricks to design robust solutions that meet business requirements and regulatory standards. The team works across modern data infra and cloud-native solutions.

Qualifications

• Total experience: 7+ years in relevant field.
• Excellent knowledge and experience in Azure Bigdata Engineer (Banking Domain) role.
• Strong experience with Spark, Python/Pyspark, Azure Data Factory, Banking Domain, Databricks, SQL.

Responsibilities

• Writing and reviewing great quality code.
• Understanding clients' business use cases and technical requirements and translating them into technical design.
• Mapping decisions with requirements and translating to developers.

Skills

Azure Bigdata Engineer

Banking Domain

Spark

Python/PySpark

Azure Data Factory

Databricks

SQL

Tools

Azure Data Factory

Databricks

SQL

Job description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Total experience: 7+ years.
• Excellent knowledge and experience in Azure Bigdata Engineer (Banking Domain) role.
• Strong working experience with architecture and development in Spark, Python/Pyspark, Azure Data Factory, Banking Domain, Databricks, SQL.
• Support onboarding of files from SORs into Azure Landing Zone using metadata driven ingestion framework.
• Physicalize delta tables required for the Transcend use case using ingestion framework and ADF.
• Physicalize delta tables in the silver and gold layer based on the source to target mappings provided by BAs.
• Support silver layer data modeling activity based on the data model provided by a BA.
• Orchestrate data pipelines in Databricks to load the data into gold layer.
• Support upload of source to target mappings to Service Providers accelerators.
• Support QA and UAT activities including defect triaging and defect fixing.

RESPONSIBILITIES:

• Writing and reviewing great quality code.
• Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.