Tecsys Data Platform Engineer (DevOps)

Role description

Join Tecsys as a Data Platform Engineer focused on DevOps practices. This hybrid position involves operating our advanced cloud data platform for analytics and AI products.
In this impactful role within the TecsysIQ Data & AI team, you will be responsible for managing AWS and Databricks environments, creating delivery pipelines, and ensuring reliable data pipelines. Your collaboration with developers and product owners will drive high-quality data infrastructure, enhancing supply chain solutions in healthcare.
Key Responsibilities:
• Evolve Databricks and AWS setups using Terraform
• Develop and manage Kubernetes jobs to onboard new environments
• Build Docker images for CI/CD pipelines
• Design real-time streaming pipelines with Spark Structured Streaming
• Collaborate in Agile teams to deliver data solutions
Requirements:
• Strong experience with Databricks and Apache Spark
• Proficiency in Terraform, AWS, and Kubernetes
• Experience with Docker and CI/CD workflows
• Knowledge of Python, Java, and SQL
• Understanding data quality and ETL concepts
Drive innovation in healthcare solutions by mastering our data platforms at Tecsys.
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