Principal Data Analytics Engineer
Remote - USA
Applications have closed
Plastiq
Manage your cash flow, automate your payables, and start accepting payments with no fees - all in one place. Plastiq simplifies your payments.We are looking for an entrepreneurial member with passion, fresh ideas, and eagerness to accelerate the design, development, implementation, testing, and operation of large-scale and high-performing data solutions. As Principal Data Analytics Engineer you will work closely with cross-functional teams including product, marketing, sales, operations, and many engineering squads to develop tools and data products that elevate the data-driven strategies. You will exhibit technical acumen with a passion for making an impact through delivering best-in-class data, analytics, and data science products.
Your Responsibilities
- Design and build high quality data management solutions to support analytics operations
- Architect and build data pipelines to improve operational efficiency and data integrity
- Architect and manage the BI infrastructure
- Partner with other engineering teams to enable the exchange of data and data science assets
- Design and build a streamlined internal machine learning platform to deliver insights and recommendations
- Identify opportunities to enhance analytics and data science operations
Your Minimum Required Experience
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics or a related field
- 7+ years of industry experience as a Data Engineer or related specialty (e.g., Business Intelligence Engineer, Data Scientist), working with large datasets
- 7+ years of hands-on experience in writing complex and optimized queries to manipulate structured and unstructured datasets
- Rich experience in building and managing data warehouses, relational databases and data pipelines
- Prefer deep experience with Snowflake and AWS
- Skilled with at least one of the high level programming languages (e.g., Python, Javascript, Java)
- Experience defining data engineering roadmaps and delivering projects on schedule
- Experience providing technical leadership and mentoring engineers in the data engineering space
Tags: AWS Big Data Business Intelligence Computer Science Data Analytics Data management Data pipelines Engineering FinTech JavaScript Machine Learning Mathematics Pipelines Python RDBMS Snowflake Testing
Perks/benefits: Career development
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