-
ID
#46076684 -
Job type
Permanent -
Salary
Depends on Experience -
Source
Bakkt -
Date
2022-09-22 -
Deadline
2022-11-20
Data Engineer 4
Georgia, Atlanta, 30301 Atlanta USAPermanent
Vacancy expired!
- Build & implement end to end data platform that encompasses entire lifecycle of data in process, data in motion & data at rest using Google Cloud Platform & relevant technologies (Google Pub/Sub, Cloud Storage, Dataflow, BigQuery, MLFlow, Vortex AI, Spanner, CloudSQL, Looker)
- Expertise in data engineering, data services & data management at scale
- Building out Customer data platform & Martech Platform that delivers marketing & personalization
- Setup & manage delivery processes & standards for data platform
- Build data pipelines from all source systems such as transaction systems, pipelines, data stores etc. with the emphasis on scalability and reliability
- Leverage central data warehouse along with other data sources to create enriched customer information into CRM system
- Understand and translate business needs into data models to support long-term, scalable, and reliable solutions
- Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
- Drive data quality across the organization; develop best practices for standard naming conventions and coding practices to ensure consistency of data models and tracking
- Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers and Software Engineers to understand data needs and deliver on those needs
- 3-6 direct years of experience with large scale big data platform, data warehouses & analytical systems.
- Proficiency in Google Cloud Platform & relevant data technologies (Big Query, Looker, Data flow, Google Pub/Sub, ML flow, Vortex AI….)
- Programming skills with Python, Spark and SQL.
- Preferred experience with data integration tools
- Experience working with Finance datasets
- Strong Database knowledge, SQL & No-SQL w/ Google Cloud Platform preferred
- Communication Skills Data Engineers are part of a team, working with database administrators, data analysts and management and need to be effective communicators.
- Experience designing and implementing cloud based and SaaS data warehouse (e.g., BigQuery, Data Bricks, Hadoop, NoSQL) and developing ETL/ELT pipelines
- Experience integrating and building data platform in support of BI, Analytics, Data Science, and real-time applications
- Strong communication skills, with the ability to initiate and drive projects proactively and accurately
Vacancy expired!
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