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B-Stock is actively seeking a skilled Senior Data Engineering Developer to spearhead the design, development, scaling, and maintenance of our cutting-edge SaaS infrastructure. In this pivotal role, you will collaborate closely with cross-functional teams encompassing Data Science, Engineering, and Product/Business Technology. Your primary mission will be to construct robust data infrastructure, establish streamlined processes, and enhance our toolset.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES
* Pioneering the vision for Business Intelligence (BI) and Data Warehousing, steering the strategic plan to fruition.
* Assembling a high-caliber BI and Data Warehouse team, fostering their growth and skill development.
* Cultivating collaborative relationships with Product Managers, Analysts, and Software Engineers to decipher data requirements and deliver impactful solutions.
* Architecting, constructing, overseeing, and optimizing foundational data infrastructure.
* Implementing a monitoring infrastructure to provide real-time insights into the status of our data pipelines.
* Implementing and supervising processes that enhance implemented solution performance.
* Optimizing schemas, including partitions, compression, and distribution, to balance costs and performance.
* Crafting bespoke data infrastructure solutions not readily available off-the-shelf.
* Creating and sustaining custom data ingestion pipelines and seamless integrations with third-party platforms.
* Championing Data Quality and the creation of high-impact dashboards.
* Defining and managing Service Level Agreements (SLAs) for all production datasets and processes.
* Providing guidance and support to our data team, assisting with design decisions and performance optimization strategies.
MINIMUM QUALIFICATIONS, JOB SKILLS, ABILITIES
EDUCATION:
* Bachelor's degree in a technical and/or quantitative field of study—e.g., computer science, mathematics, physics, statistics, or equivalent and/or substantial related experience.
EXPERIENCE:
* A remarkable track record of 8+ years in the realm of distributed data technologies.
* Demonstrable experience in ETL and ELT in cloud SaaS/PaaS infrastructures.
* Proficiency in serverless Microservices like GCP Cloud Function, AWS Lambda.
* Hands-on experience on streaming and batch data pipeline.
* Expertise in databases such as Bigquery, MS SQL on data/domain architecture.
* Expertise in SQL language to be able to transform raw source data into SQL columns.
* Experience with GCP solutions such as DataFlow and Pubsub are huge plus.
* Understanding and experience in AI/ML platform and pipeline, such as Vertext AI.
EMPLOYEE BENEFITS
* Competitive compensation packages including bonus and options
* Medical, dental, and vision benefits
* Matching 401(K)
* Paid time off
* Telecommuting and remote-work options
* Support for continuing education
* Team off-sites, social events, annual company events, and frequent extracurricular activities
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