Keyskills :
SQL , Architecture , Python , AWS , Apache , API , Azure , Data Engineering , Data Governance , Data Lake , Data Processing , MongoDB , Data Security , Access Control , Analytics , Apache Spark , API , API Development , Api Security , Azure Storage , Big Data , BigQuery , Communication , Compliance , Computer Science , Computing , Cost Efficiency , Data Access , Data Infrastructure , Data Pipelines , Data requirements , Data Services , Database , Design , Development , Distributed Computing , Documentation , Effectiveness , Engineering Solutions , Governance , GraphQL , Guidance , Infrastructure , Innovation , Kubernetes , Learning , Logging , Machine Learning , Mentoring , Microservices , Microsoft Azure , NoSQL , Orientation , Performance Data , Performance Tuning , Provide Training , Pyspark , Research , Rust , Scalable Architecture , Science , Security , Sensitive , SPARK , Technical Documentation , Training , Vaccination , Written Communication , X-Ray
Designation:
N/A
Job Description:
We are looking for an experienced Staff Data Engineer to lead the development of our high-performance data pipelines and scalable APIs using Databricks and Rust. As a key technical leader, you will design, implement, and optimize data infrastructure, ensuri…