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 will focus 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 like 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 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
•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
•Experience with streaming frameworks (Kafka, 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 attention to detail and quality