Senior Data Management Engineer

Job Description

• Collaborate with engineers, product managers and business analysts to understand data needs.
• Design, launch and manage database plans.
• Design, launch and manage data warehouse plans.
• Design, re-build and launch data models in production.
• Design, re-build and launch data pipelines and ETL (Extraction, Transformation and Loading) processes in production.
• Support existing processes running in production.
• Define and manage SLA (Service Level Agreements) for all data sets in allocated areas of ownership.
• Work with data infrastructure issues and drive to resolution.
• Build data expertise and own data quality for allocated areas of ownership.

Job Requirements

• 4+ years of experience Strong experience (3+ years) designing, developing and productionizing data applications at scale.
• Strong experience in NoSQL and SQL.
• Knowledge in Unix/Linux.
• 2+ years of experience in object-oriented programming (Scala or Python).
• knowledge in Azure cloud services is an advantage.
• Knowledge in Databricks is an advantage.
• Experience in Designing, develop and maintain Data warehouses.
• Experience with any ETL tool.
• Experience in Informatica.
• Excellent communication skills.
• Excellent Presentation skills with a high degree of comfort speaking in front of an audience.
• Fluent in English.
• Can work with a team.
• Show the ability to innovate Willingness to learn new tools and technologies.