Opportunity For Senior Software Developer ( Data Engineer + Python )

Role: Senior Software Developer

We are looking for an experienced and innovative Senior Data Engineer to design, build and maintain high-quality data systems and backend services for the organization. The successful candidate will work closely with business and technology teams to develop reliable data solutions, improve existing data workflows and support critical financial products. The individual should have strong skills in data engineering, Python development and database systems. The candidate must be able to work under pressure, manage multiple tasks, communicate clearly and deliver work on time.

Responsibilities:

• Design and implement data pipelines for ingestion, processing and transforming data.
• Build and maintain ETL workflows using Python, SQL and PySpark.
• Develop Python-based backend services (APIs or internal tools) to support data operations.
• Maintain, optimize and improve performance of existing data pipelines and backend components.
• Work with different databases such as PostgreSQL, MySQL, MS-SQL and upcoming systems like TimescaleDB or InfluxDB.
• Ensure data quality, validation and monitoring across all data systems.
• Analyze and troubleshoot data issues and provide long-term, stable solutions.
• Support cloud-based data environments (AWS or Azure) as the platform evolves.
• Create and update data models, schemas and storage structures for reliable reporting.
• Actively review code for accuracy, clarity and functionality.
• Clearly communicate progress, risks and solutions with managers and cross-functional teams.
• Stay updated with new data technologies, backend tools and industry best practices.
• Recommend and implement improvements to existing data processes and systems.

Experience:

• Bachelors degree in Computer Science, Information Technology or a related field. Master’s degree preferred.
• 5–12 years of proven experience in data engineering and backend Python development.
• Strong knowledge of Python, SQL and PySpark.
• Experience in building APIs or backend services using Python (FastAPI/Flask preferred).
• Good understanding of relational and time-series databases (PostgreSQL, MySQL, Oracle, TimescaleDB, InfluxDB).
• Exposure to cloud platforms (AWS or Azure).
• Ability to work independently and manage multiple tasks effectively.
• Understanding of data projects from both business and stakeholder perspectives.
• Strong diligence, organizational skills and attention to detail.
• Ability to adapt to changing priorities and requirements.
• Excellent communication and time management skills.