Technology – Python, SQL, Unix, familiarity with ETL and data integration
Location – Helsinki, Finland
Business Unit – ENGNE
Compensation – Competitive (including bonus)

Job Description
We are looking for a skilled Software Developer with at least 3 years of experience in building data-driven applications and integration solutions. The ideal candidate will have strong expertise in modern data storage and retrieval systems, advanced SQL, Python, and ETL frameworks, along with experience working in Unix/Linux environments.
This role focuses on developing scalable backend services, building robust data pipelines, and enabling seamless system integration across enterprise platforms. Exposure to telecom domain systems and datasets is beneficial but not mandatory.

Key Responsibilities
Application Development

• Design, develop, and maintain scalable applications for data processing and integration.
• Develop backend services using Python and integrate with web-based presentation layers.
• Write clean, maintainable, and performance-optimized code.

Data Engineering & Query Optimization

• Develop and optimize complex SQL queries for large-scale datasets.
• Work with modern relational and non-relational databases.
• Ensure high performance, scalability, and data integrity.

ETL & Data Integration
Design and implement ETL pipelines for data ingestion, transformation, and delivery.
Integrate systems using:

• SFTP (file-based integration)
• APIs (REST/SOAP)
• Kafka (real-time streaming)

Troubleshoot and optimize data pipelines and integrations.
Scripting & Unix Operations

• Develop automation scripts for data workflows and system operations.
• Work within Unix/Linux environments for monitoring, scheduling, and troubleshooting.

Web & Data Presentation

• Support integration of backend services with web applications and reporting tools.
• Enable data availability for dashboards and analytics platforms.

Advanced(desirable) capabilities:

• Work with graph data models and knowledge graphs.
• Develop queries using RDF and SPARQL.

Required Skills

• Strong experience in software development or data engineering roles.
• Strong programming experience in Python.
• Advanced proficiency in SQL and database concepts.
• Experience with modern data storage technologies (RDBMS, NoSQL).
• Hands-on experience with ETL tools/pipelines and data integration.
• Proficiency in Unix/Linux systems and shell scripting.

Nice-to-Have Skills

• Exposure to telecom OSS/BSS domain
• Experience working with telecom datasets such as CDRs, usage, or operational data.
• Knowledge of Apache Kafka or similar streaming platforms.
• Familiarity with graph databases (Neo4j, Amazon Neptune).
• Experience with RDF, SPARQL, or semantic technologies.
• Understanding of cloud platforms (Azure/AWS).
• Knowledge of ITIL processes (Incident, Problem, Change Management).

Personal
Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:

• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills

About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer