Cloud Data Engineer

The Cloud Data Engineer will play a critical role on helping Lab49’s clients design and execute their transitions to cloud based data. Working in a collaborative and innovative project team, with direct client-facing interactions, the Cloud Data Engineer will apply the skills and expertise to create secure and performant cloud-based data strategies leveraging the latest in technological options.  

Responsibilities

• Design and build cloud-based advanced data strategies
• Design and execute migration paths and validation, inclusive of parallel runs
• Communicate with leadership, product owners, other technologists and users to create data strategies based on an understanding of business and technical priorities
• Break down complex problems into elegant solutions
• Work with outside data sources and APIs
• Oversee development teams in deploying and validating of data strategies and understanding concerns such as provenance, discovery, entitlement and performance of data delivery.
• Work with development engineers to track down defects
• Actively contribute to improving software prior to distribution to Lab49’s client’s clients
• Bring a passion to stay on top of tech trends
• Experiment with and learn new technologies

Required Skills and Experience

• Proven software design and development capability for data-driven projects
• Experience with cloud-based data technologies such as Elastic/Lucne, S3, RDS, RedShift, Dynamo, Snowflake
• Experience working distributed compute modalities with HDFS, Spark
• Working knowledge of the general cloud-data landscape, architectures, trends and emerging technologies
• Experience working in an Agile environment.
• College degree in Computer Science or related field of study or equivalent experience