Position: Data Engineer / Senior Spark Developer
Company: Globallogic
Experience required: 5y
English level: intermediate

**Job Description:**
- 5+ years of hands on experience with Apache Spark(Pyspark/SparkR/sparklyr);
- Experience using Spark in the Databricks Ecosystem;
- Deep knowledge in the design and implementation of Distributed File Systems, Data Warehousing and Streaming technologies, including data architecture patterns, using Azure;
- Experience in deploying and managing Spark ML models at scale;
- Excellent communication and presentation skills;
- Passionate about learning and experimenting with new technologies.

**Job Responsibilities:**
- Provide expertise and guidance in the architectural design and implementation of Spark projects, from Data Engineering using Cloud Storage to Machine Learning/Deep Learning pipelines in Data Science and AI;
- Implementation and delivery of globally scalable and supportable Spark workloads to a production grade level of quality in an Agile Devops working environment;
- Engage and consult with end users to understand real world problems worth solving and relating how distributed cloud computing can solve them;
- Provide technical leadership and impart Spark knowledge to project team members and others in the Data Science Community.

**Project Description:**
Ranging from the Data Engineering challenges of big data to the distributed computational Machine/Deep learning demands of Data Science and AI.