Job Description :


·       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.



·       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.


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