Software Engineer, PySpark

NatWest Group

Software Engineer focusing on PySpark to engineer high-quality software solutions. Collaborating with cross-functional teams and handling the full software development life cycle.

Posted 7/16/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in PySpark and data engineering, with a strong focus on ETL design, data quality, and AWS services. Proficient in Python, Spark, and SQL, with a solid understanding of Agile methodologies and programming best practices.

Highest-signal resume keywords

PySpark Data EngineeringETL DesignAWS ServicesPython ProgrammingAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality TestingData CleansingData MonitoringSQL ProgrammingLarge Language ModelsDevOps PracticesAutomationScalabilityOptimizationPerformance Engineering

Soft Skills

CollaborationProblem SolvingCommunication

Tools & Technologies

AWS GlueAWS LambdaAWS EMRGitHub CopilotGitLab DuoBug Tracking ToolsDevelopment ToolsTesting Tools

Industry Keywords

Software EngineeringAgile DevelopmentData EngineeringCustomer-Centric Solutions

Tech Stack

Tools & technologies

AWSETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Engineering and maintaining innovative, customer-centric, high-performance, secure, and robust solutions
Working within a feature team to engineer software, scripts, and tools
Liaising with other engineers, architects, and business analysts across the platform
Producing complex and critical software rapidly and of high quality
Collaborating to optimize software engineering capability
Designing, producing, testing, and implementing working software solutions
Working across the life cycle, from requirements analysis and design to coding, testing, deployment, and operations

Requirements

What you’ll need

At least six years of experience in PySpark and data engineering
Strong expertise in ETL design, data quality testing, cleansing, monitoring, sourcing, and exploration
Experience with AWS services such as Glue, Lambda, EMR, or Spark and S3
Programming proficiency in Python, Spark, and SQL
Working knowledge of Large Language Models (LLMs) and AI-assisted development tools like GitHub Copilot and GitLab Duo
Experience of working with development and testing tools, bug tracking tools, and wikis
Experience in multiple programming languages or low-code toolsets
Experience of DevOps and Agile methodology and associated toolsets
Background in solving highly complex, analytical and numerical problems
Experience of implementing programming best practices, especially around scalability, automation, virtualization, optimization, availability, and performance.

Benefits

Comp & perks

Health insurance
Professional development opportunities