Role: Azure Data Architect
Duration: Contract to hire 3/6 months
Location: Santa Clara office, CA—locals preferred
Hybrid
Job Description
The candidate is expected to play developer role who can interact with the customer, work with teams (local or remote) and lead the technical or business discussions in key meetings.
An ideal candidate must have been involved in this role, where she/he has led the design/implementation of several complex data-oriented solutions on Hadoop Big Data Platform.
The role is a combination of design and implementation and consulting with hands-on experience. It will require one to envision, design, and implement the technical solution, working with customer and internal technical team.
Primary (Must have skills)*
Excellent verbal and written communication. Should be able to speak confidently throughout the conversation
Ø Experience working with customer Business/IT team
Ø Mandatory to have end-to-end experience working in a Databricks Data environment (Dev, QA and Prod) with large data sets (Petabytes).
Ø Experience with Python and deployments for data sourcing and loads into ADLS (Azure Data Lake)
Ø Very comfortable with SQL
Ø Comfortable with the broader Databricks ecosystems.
Ø Experience working on Apache Spark creating data processing jobs and running them on Databricks.
Ø Knowledge of Kafka would be valuable.
Ø Basics of unix commands.
Ø Must have worked on several projects in the Big data space
Hands-on with experience with the following
1. Spark, Databricks & SQL
2. Good in Java / Python, Good at PySpark/Spark language
Secondary Skills (Good To have)*
Experience working with Azure Data Services
Share resumes at siri@motivetechsolutions.com