Senior Developer
Cognizant
London, UK
13 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Big Data
Cloud Computing
Software Quality
Information Engineering
Data Integrity
Python (Programming Language)
Secure Coding
PL-SQL
Data Streaming
Database Optimization
Fastapi
+3 more
Build Management
Pyspark
Data Pipelines
Job description
Lead Developer role for a global organization, responsible for designing, implementing and optimizing Python and cloud based solutions using AWS and PySpark for data intensive and regulatory focused applications. The role requires strong experience in PL SQL and AWS services, owning end to end technical delivery, code quality and performance in a hybrid day shift model with no travel., * Design scalable Python applications that process complex business and regulatory data sets, ensuring robustness, maintainability and clear modular structure for long term reuse and evolution.
- Develop secure and efficient solutions on AWS cloud that leverage core services to support highly available data processing pipelines and transaction workflows aligned with enterprise standards.
- Implement optimized PySpark jobs for large scale data transformations, ensuring efficient resource usage, predictable performance and alignment with agreed data models and quality rules.
- Create and refine PL SQL procedures and queries that support data integrity, regulatory reporting demands and high volume operations while maintaining consistent performance across environments.
- Coordinate with product owners and business stakeholders to translate regulatory and governance needs into clear technical requirements and deliverables that directly support compliance objectives.
- Review and refine code contributions from the development team, ensuring adherence to Python coding standards, AWS best practices and database optimization guidelines for consistent quality.
- Provide detailed technical estimates and task breakdowns for Python, AWS and data engineering work, enabling accurate planning of sprints and transparent communication of delivery timelines.
- Guide the adoption of secure coding patterns, encryption and access control mechanisms across Python services and AWS configurations to protect sensitive data in regulatory contexts.
- Collaborate with cloud operations and security teams to validate deployment configurations, monitoring coverage and incident response procedures for critical applications running on AWS.
- Analyze production issues related to Python services, data pipelines or PL SQL routines, identifying root causes and implementing durable fixes that minimize repeat incidents and downtime.
- Document solution architectures, service interactions and data flows in clear technical design records that support audit needs and knowledge transfer for governance and compliance programs.
- Drive continuous improvement in build and deployment automation using Python tooling and AWS native capabilities to reduce manual effort, accelerate releases and improve reliability of changes.
- Align daily development activities with the organization purpose by building trustworthy systems that help clients meet regulatory obligations and contribute to more transparent and compliant markets.
Requirements
- Preferred certifications include AWS Certified Developer Associate or AWS Certified Solutions Architect Associate and a Python programming certification.
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