Job Description

We are seeking a highly skilled and experienced data analytics engineer to join our team. The ideal candidate will be responsible for developing, managing, and maintaining our data infrastructure and ensuring the accuracy and reliability of our data. The successful candidate will have a strong technical background in data analytics and engineering, as well as experience in managing and manipulating large datasets. This role requires a detail-oriented individual with excellent analytical and problem-solving skills and the ability to work effectively in a fast-paced and collaborative team environment.

About Us

Docyt, pronounced \xe2\x80\x9cdocket\xe2\x80\x9d, is a FinTech startup headquartered in Silicon Valley, that is passionately focused on giving businesses control of their financial data. While great strides have been made in sending and receiving payments, businesses still struggle to aggregate all their financial data, understand it, and use it to make well-informed, timely decisions. Docyt brings order to data chaos.

Docyt is a super app that applies AI (artificial intelligence) across the entire accounting tech stack. Docyt digitizes financial data, automates both income and expense workflows, continuously reconciles QuickBooks\xc2\xae, and generates real-time financial statements. That explains what we do, but here\xe2\x80\x99s why it\xe2\x80\x99s important. A complete, accurate, real-time financial picture empowers businesses to make timely and smart decisions so their business can thrive.

Requirements

• Design, develop, and maintain data infrastructure and data pipelines to support data analytics and reporting needs
• Implement data quality checks and data validation processes to ensure the accuracy and reliability of data
• Develop and maintain data models and perform data analysis to support business decisions
• Collaborate with cross-functional teams to identify data requirements and develop data solutions that meet business needs
• Ensure data security and compliance with data privacy regulations
• Identify and troubleshoot data-related issues and provide recommendations for solutions
• Stay up-to-date with emerging technologies and data analytics trends to ensure best practices and continuous improvement

• Bachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field
• Minimum of 3 years of experience in data analytics, data engineering, or a related field
• Strong experience writing SQL queries
• Strong technical skills in data modeling, data warehousing, and data integration
• Experience with programming languages such as Ruby, Python, Java
• Knowledge of data analytics tools such as Metabase, Tableau, Power BI, or QlikView
• Knowledge of ETL tools such as dbt, Airbase, AWS DMS
• Experience working with large datasets and performing data analysis
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• Ability to work independently and in a team environment
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform is a plus

• Competitive compensation
• High-impact mission-driven culture
• FTE employment opportunity at an early-stage Silicon Valley-based startup
• Comprehensive medical coverage
• Company-provided laptop

Docyt