Data Engineer

💼 Job Type: Full-Time

📍 Location: Bangalore, Hybrid (Startup Environment)

⏱️ Work Timings: Flexible

🖥️ Experience Required: 2+ years in data engineering / data platform engineering

🚀 Hiring Process: Resume review → Introductory call → Technical & Cultural interviews → Offer

🏢 About the Company

InCommon is hiring on behalf of Saltmine, a rapidly growing technology firm transforming the $300B Commercial Real Estate industry. Their SaaS platform revolutionizes workplace design, strategy, and procurement through data-driven innovation. With global operations across the US, Europe, and Asia, they are backed by top venture capital firms and have recently closed their Series A funding.

We are seeking a highly motivated Data Engineer to join our growing data team. You will support the design and maintenance of a scalable data platform and collaborate with engineers, analysts, and product teams to deliver robust and secure data solutions. This role offers an excellent opportunity to grow your skills in modern data technologies while contributing to high-impact business initiatives.

🔧 Key Responsibilities

• Data Platform Support and Development: Assist in the design, development, and maintenance of a scalable data platform that supports both batch and real-time data processing.
• Data Pipeline Development: Collaborate with senior engineers to develop and manage ETL/ELT pipelines, ensuring the timely and accurate ingestion, transformation, and distribution of data across the company.
• Data Storage Management: Support the optimization of data lakes and warehouses to ensure efficient data storage, retrieval, and cost-effective management.
• Monitoring and Troubleshooting: Assist in implementing monitoring solutions and frameworks to ensure data accuracy and system reliability. Help identify and resolve performance issues in data pipelines.
• Collaboration and Cross-Team Support: Work with data scientists, analysts, and product teams to understand business needs and help deliver scalable data solutions that meet those requirements.
• Data Security and Compliance: Implement data security and compliance measures to ensure data integrity and privacy.
• Learning and Growth: Take ownership of assigned tasks, proactively seeking mentorship from senior engineers, and continuously improving your skills in data engineering.

✅ Required Qualifications

• 2+ years of hands-on experience in data engineering/ data platform engineering or a related field.
• Experience developing and maintaining data pipelines (ETL/ELT) in cloud environments (AWS preferred).
• Familiarity with modern data lake architecture and various table formats like Apache Hudi, Iceberg, Delta Lake.
• Hands-on programming experience in Python and/or Java, with the ability to write efficient, maintainable code.
• Hands-on SQL and/or NoSQL experience.
• Strong problem-solving skills with a focus on incremental delivery and adaptability to evolving project needs.
• Good communication skills and a willingness to learn and collaborate with cross-functional teams.
• Bachelor’s/Master's degree in Computer Science, Engineering, or a related field.

🌟 Preferred Qualifications

• Familiarity with DataOps, CI/CD and IaC related to data engineering domain.
• Knowledge of Kubernetes is a plus.
• Previous experience in a startup or fast-paced environment is a plus.