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EY

Staff Engineer, Python, SQL

EY

. Design, develop, test, and maintain Python applications, services, utilities, and data-processing workflows .

Posted 10/30/2026full-timeTrivandrum • IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong capabilities in Python application development, advanced SQL query optimization, and cloud computing with Microsoft Azure, AWS, or GCP. Proficient in KYC and AML workflows, with experience in data processing and compliance solutions.

Highest-signal resume keywords
Python ProgrammingAdvanced SQL SkillsCloud Experience (Azure, AWS, GCP)KYC and AML WorkflowsREST APIs and Python Frameworks

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Python Application DevelopmentSQL Query OptimizationData Processing with PandasUnit TestingDebuggingData ReconciliationObject-Oriented ProgrammingComplex Joins and SubqueriesPerformance-Conscious CodingData Structures
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
PostgreSQLOracleMicrosoft SQL ServerMySQLGitPower BITableauAirflowAzure Data FactoryJira
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
Financial Crime ComplianceKYCAMLTransaction MonitoringFraud SolutionsSanctionsData LineageThreshold TuningAgile DeliveryCI/CD Fundamentals

Tech Stack

Tools & technologies
AirflowAWSAzureCloudDjangoETLFlaskGoogle Cloud PlatformMS SQL ServerMySQLOraclePandasPostgresPySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • Design, develop, test, and maintain Python applications, services, utilities, and data-processing workflows
  • Write complex, optimized SQL for data extraction, transformation, reconciliation, profiling, and investigation use cases
  • Work with large financial datasets, including customer, account, transaction, alert, case, and screening data
  • Translate Financial Crime Compliance requirements into technical designs, data rules, scenarios, and reusable components
  • Support KYC and AML workflows including customer onboarding, customer risk rating, customer due diligence, enhanced due diligence, and periodic review
  • Contribute to Transaction Monitoring, Sanctions, and Fraud solutions through rule implementation, threshold logic, alert generation, data validation, and issue analysis
  • Develop APIs, batch jobs, automation scripts, and integration components using Python
  • Perform unit testing, code reviews, debugging, root-cause analysis, and production support
  • Collaborate with compliance SMEs, business analysts, data engineers, QA teams, and client stakeholders in Agile delivery teams
  • Follow secure coding, version-control, documentation, and deployment practices

Requirements

What you’ll need
  • Strictly 2–4 years of relevant professional experience
  • Minimum 2 years of relevant professional experience; candidates with less than 2 years and freshers are not eligible
  • Hands-on cloud experience is mandatory, using Microsoft Azure, AWS, or GCP
  • Strong hands-on Python programming, including data structures, functions, object-oriented programming, exception handling, modules, logging, testing, and performance-conscious coding
  • Advanced SQL skills, including complex joins, subqueries, common table expressions, window functions, aggregations, query optimization, stored procedures, and data reconciliation
  • Practical experience with at least one relational database: PostgreSQL, Oracle, Microsoft SQL Server, or MySQL
  • Experience processing structured data with Python libraries such as pandas and integrating with databases, files, or APIs
  • Working knowledge of REST APIs and Python frameworks such as FastAPI, Flask, or Django
  • Experience with Git, unit testing, code review, debugging, documentation, and CI/CD fundamentals
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field
  • Relevant delivery experience in KYC, AML, Transaction Monitoring, Sanctions, or Fraud is good to have
  • Experience with PySpark or distributed data processing is good to have
  • Familiarity with Airflow, Azure Data Factory, or equivalent ETL/orchestration tools is good to have
  • Experience with Power BI or Tableau is good to have
  • Understanding of model or rule performance measures, threshold tuning, false-positive reduction, and data lineage is good to have
  • Exposure to Jira or Azure DevOps and Agile delivery practices is good to have

Benefits

Comp & perks
  • Competitive salary
  • Global scale, support, and inclusive culture
  • Career development opportunity
  • Exposure to global financial services clients
  • Agile delivery team environment