Data Architect
hace 2 semanas
Unlocking Business Potential through Data Excellence
We're on a mission to empower our clients and their communities by harnessing the power of data. At Quantexa, we believe that the right data can unlock new opportunities for growth and innovation. As a key member of our team, you'll play a crucial role in helping us achieve this vision.
About the Role
We're seeking a highly skilled Data Engineer to join our dynamic and collaborative Revenue Operations team. In this role, you'll be responsible for designing, developing, and maintaining our business data architecture, ensuring seamless data flows and delivering key business insights to drive informed decision-making.
Key Responsibilities
- Data Pipeline Development: Assist in building, testing, and maintaining scalable ETL (Extract, Transform, Load) pipelines for data ingestion from diverse sources into our data infrastructure.
- Data Architecture: Support the design and implementation of data solutions that integrate across different teams, ensuring a unified and scalable architecture.
- Data Warehousing: Help optimize and maintain our data warehouse to enable efficient data storage and retrieval for business insights, especially in the context of Revenue Operations.
- Cross-Department Collaboration: Work closely with Revenue Operations and other internal teams (e.g., sales, finance, product) to understand their data needs and implement appropriate solutions.
- Data Quality & Integrity: Ensure the quality, accuracy, and consistency of data across different systems and databases through monitoring and validation processes.
- Automation: Automate routine data tasks and workflows to enhance data operations and reduce manual efforts.
- Documentation: Maintain clear and concise documentation for data pipelines, systems, and processes.
- Data Support: Provide ongoing support for business users, ensuring they have access to the right data for reporting and analysis needs.
Requirements
- Proficiency in SQL: Ability to write efficient queries and perform database operations.
- Familiarity with ETL processes and tools like Apache Airflow, Talend, or similar.
- Understanding of cloud platforms (AWS, GCP, or Azure) and cloud-based data storage solutions (S3, BigQuery, etc.).
- Knowledge of databases (SQL/NoSQL) and data warehousing concepts.
- Strong problem-solving skills and ability to work collaboratively in a team environment.
- Eagerness to learn and adapt in a fast-paced fintech environment.
- Experience working with API integrations.
- Preferred experience with Python (or other relevant programming languages) for data manipulation and automation.
- Exposure to financial datasets or fintech industry experience is a plus.
About Us
Quantexa is a dynamic and inclusive organization that values diversity, equity, and inclusion. We're committed to creating a work environment that's welcoming and respectful to all employees. If you're passionate about data and want to join a team that's making a real impact, we'd love to hear from you.
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