Role Overview

We are looking for a Data Platform Software Engineer to build and scale robust, high-performance data platforms that power analytics, AI/ML, and business decision-making. This role focuses on designing and optimizing data pipelines, ensuring data reliability, and enabling seamless data access across the organization.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using modern data stack tools
• Develop and optimize data models and workflows on platforms such as Databricks and Snowflake
• Ensure data quality, integrity, and availability across systems
• Collaborate with engineering, analytics, and product teams to enable data-driven use cases
• Improve performance and cost efficiency of data processing and storage
• Implement best practices for data governance, security, and access control
• Support both real-time and batch data processing requirements

Must-Have Skills

• Strong experience with Databricks and/or Snowflake
• Proficiency in SQL and Python (or Scala)
• Hands-on experience building ETL/ELT pipelines
• Solid understanding of data warehousing concepts and data modeling
• Experience working with large-scale datasets and distributed systems
• Familiarity with cloud platforms (AWS / Azure / GCP)

Good-to-Have Skills

• Experience with streaming frameworks such as Kafka or Spark Streaming
• Exposure to AI/ML data pipelines
• Knowledge of data governance and security frameworks
• Experience with orchestration tools like Airflow

What We’re Looking For

• Strong problem-solving mindset with a focus on performance and scalability
• Ability to work in cross-functional teams and translate business needs into data solutions
• Ownership-driven approach with high attention to detail and quality