We are looking for a Senior Data Infrastructure Engineer to lead the design, build, and optimization of a modern data platform. The role involves hands-on work with cloud-based data technologies, building data lakes from scratch, and managing large-scale data pipelines while ensuring high performance, cost efficiency, and reliability. You will collaborate closely with data engineers, data science, analytics, and product teams to support business needs.
Key Responsibilities:
Design and build scalable data lakes / platforms using technologies such as Snowflake, Databricks, BigQuery, or Redshift
Develop and optimize large-scale data pipelines for batch and streaming use cases
Ensure high performance, scalability, and cost efficiency across data systems
Work with complex data workflows, AI models, transformations, and orchestration
Apply best practices in data modeling, monitoring, security, and governance
Requirements: 5+ years in data engineering or data infrastructure roles
Proven experience building modern data platforms or data lakes from scratch
Strong Python programming skills and experience with Spark / PySpark
Knowledge of distributed systems and cloud-based architectures
Experience with ETL/ELT processes and handling data at scale
This position is open to all candidates.