Docyt, a pioneering FinTech startup based in Silicon Valley, is on the lookout for a skilled Data Engineer to join our innovative team. In this role, you will be at the forefront of designing and building robust data systems that will handle substantial financial data streams. As a Data Engineer, you will develop and maintain data pipelines, ensure data quality, and work closely with stakeholders to deliver actionable insights that drive decision-making within the organization. If you are passionate about data architecture and ready to make a significant impact in the financial technology space, we want to hear from you!
About Us
Docyt, pronounced “docket”, is a super app that empowers businesses to take control of their financial data. We apply AI (artificial intelligence) across the entire accounting tech stack, automating workflows, reconciling financial data, and generating real-time financial statements. Our mission is to provide businesses with complete, accurate, and real-time financial information to make informed decisions and thrive.
Key Responsibilities:
- Design, build, and maintain scalable and reliable data pipelines to support data ingestion and transformation processes
- Optimize data storage solutions and ensure efficient retrieval of data
- Implement data quality checks and frameworks to assure data accuracy and integrity
- Collaborate with cross-functional teams to assess and fulfill their data needs
- Explore and apply the latest technologies and best practices in data engineering
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- Minimum of 1 year of experience in data engineering or related roles
- Proficiency in programming languages such as Python, Java, or Scala
- Strong knowledge of data Pipeline creation, SQL and experience with relational databases
- Experience with data pipeline tools (e.g., Apache Airflow, Kafka) and ETL processes
- Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure
- Understanding of data warehousing concepts and technologies
- Strong analytical and problem-solving skills
- Excellent communication skills and the ability to work collaboratively with teams
- Self-motivated and able to work independently in a fast-paced environment
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