Software Developer.Programming-AI.26-27

Hard n Soft Technologies Pvt. Ltd.

• 4 hours ago Apply Now Location Mumbai Department Production - HnS Employment Type Full-time Applications Received 8 Closes On 24 Jul, 2026

Role Overview As a Data Engineer with a backend focus, you will be responsible for designing and maintaining the critical data infrastructure that powers our client platforms. You will work closely with software developers, product managers, and data scientists to build high-throughput systems that ingest, process, and store massive datasets. Your daily contributions will directly impact the reliability of our data pipelines, ensuring that stakeholders have access to clean, actionable insights that drive business-critical decisions.

Key Responsibilities

• Design and implement scalable data models to support complex analytical requirements and ensure high data integrity across all platforms.
• Develop and optimize robust ETL processes to streamline data movement from disparate sources into centralized data warehouses.
• Engineer high-performance data pipelines using Kafka to facilitate real-time data streaming and event-driven architecture.
• Manage and maintain cloud-based data infrastructure on AWS to ensure maximum uptime and cost-effective resource utilization.
• Collaborate with cross-functional teams to troubleshoot backend bottlenecks and enhance the overall performance of data-intensive applications.
• Automate data workflows to reduce manual intervention and improve the speed of data delivery to end-users.

Required Skillset

• Demonstrated proficiency in Python for building backend services and automating data processing tasks.
• Strong command over Big Data technologies and the ability to architect solutions that handle large-scale information processing.
• Proven experience in designing efficient data models and managing relational or NoSQL databases.
• Ability to communicate technical concepts clearly to non-technical stakeholders to ensure alignment on project goals.
• Capacity to work effectively from Mumbai, maintaining high productivity and collaboration with team members.
• A Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, backed by 2 - 4 years of hands-on experience in data engineering roles.

Must-have Skills PySpark, SQL, Big Data (Spark, Hadoop) Strong ETL pipeline development & optimization Data modeling, schema design Python (backend) with API frameworks (FastAPI / Flask) Experience in building REST APIs for data exposure Cloud exposure (Azure / AWS)

Good-to-have Kafka / real-time ingestion Performance tuning at scale Apply Now