esponsibilities
· Build a long term 'database structure' for Marketing organization that will contain prospect and customer information. This database will be leveraged to conduct audience segmentations that will be then marketed too.
· Build, implement and monitor a data quality framework with required ci/cd pipeline, code instrumentation and real time monitoring tools.
· Practice/Implement data security, encryption and masking policies across various data sets and data sources.
· Develop and manage end-to-end project plans and ensure on-time delivery.
· Communicate status and big picture to the project team and management.
· Work with business and engineering teams to identify scope, constraints, dependencies, and risks.
· Identify risks and opportunities across the business and drive solutions.
Qualifications
· 6+ years combined in data engineer, (object-oriented languages Python,) DevOps, distributed cloud architecture, high availability production system deployment experience.
· Experience using Stich and Airflow to build ETL.
· Prior experience loading into Snowflake.
· Advanced SQL with big data optimization skills is an absolute must.
· Bachelor's degree in Computer Science or Engineering, or equivalent work experience
· Experience managing efforts in distributed systems and/or developing large scale web/ cloud SaaS applications.
· Proven ability to combine business acumen, technical acumen and process expertise to define client (internal/external) engagement and program execution.
· Ability to communicate effectively with technical and non-technical stakeholders across multiple business units.
· Excellent problem-solving skills.